IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
SRUTHI B. ASOK, P.KARTHIGAIKUMAR, SANDHYA R, NAVEEN JAROLD K, SIVA MANGAI PG Scholar, Electronics and Communication Engineering, Karunya University, Coimbatore, India Associate Professor, Electronics and Communication Engineering, Karunya University, Coimbatore, India PG Scholar, Electronics and Communication Engineering, Karunya University, Coimbatore, India PG Scholar, Electronics and Communication Engineering, Karunya University, Coimbatore, India Associate Professor, Electronics and Communic
V.S.JAGADEESWARAN, P.UMA Assistant professor, Department of Information Technology, Dr.N.G.P Arts and Science College, Coimbatore, India M.phil Research Scholar, Department of Computer Science, Dr.N.G.P Arts and Science College, Coimbatore, India
B.SUNIL KUMAR, P.SIVACHANDRIKA, A.SHIVA KUMAR, K.SRINIVASULU Assitant Professor, IT, GPCET, Kurnool, India IV B.Tech II Sem, IT, GPCET, Kurnool, India
YETKIN TATAR, GUNGOR YILDIRIM Assoc. Professor, Department of Computer Eng., Firat University, Elazig, Turkey Electrical and Electronic Engineer, DSI IX. Regional Directorate, Elazig, Turkey
K.MAITHILI, K.RAJESWARI, R.MOHANAPRIYA, D.KRITHIKA Assistant Professor, Department of Information Technology, Christ College of Eng. and Technology, Puducherry, India B.Tech, Final Year, Department of Information Technology, Christ College of Eng. and Technology, Puducherry, India
K.PRAVEEN KUMAR, K.SANJEEVA RAO, T.SUMANTH, N.MOHANA RAO, R.ANIL KUMAR, Y.HARISH Associate Professor Dept of ECE, Sri Vani School of Engineering, Chevuturu, A.P, India Project Students, Dept of ECE, Sri Vani School of Engineering, Chevuturu, A.P, India
M.GOPIKRISHNAN, PREETHY REBECCA P.G Student, Dept of CSE, St. Peter’s College of Engineering and Technology, Avadi, Chennai, India Assistant Professor, Dept of CSE, St. Peter’s College of Engineering and Technology, Avadi, Chennai, India
ARSHEY.M, MR.C.BALAKRISHNAN PG Scholar, Dept. of CSE, S.A Engineering College, Chennai, Tamil Nadu, India Assistant Professor, Dept. of CSE, S.A Engineering College, Chennai, Tamil Nadu, India
SUDHA.L, MUTHUKUMARASAMY.S PG Scholar, Dept. of CSE, S.A Engineering College, Chennai, Tamil Nadu, India Assistant Professor, Dept. of CSE, S.A Engineering College, Chennai, Tamil Nadu, India
M.YAMUNA DEVI, S.AISHWARYA, R.HEMALTHA, J. VIJITHA ANANTHI Graduate, Dept. of ECE, Indus College of Engineering, Coimbatore, India Graduate, Dept. of ECE, Indus College of Engineering, Coimbatore, India Graduate, Dept. of ECE, Indus College of Engineering, Coimbatore, India Assistant Professor, Dept. of ECE, Indus College of Engineering, Coimbatore, India
K.PRAVEEN KUMAR, K.SANJEEVA RAO ,V.MALLIKARJUNA RAO, K.UMA, A.SOMASEKHAR , C.MURALI MOHAN Associate Professor, Dept of ECE, Sri Vani School of Engineering, India Professor, Dept of ECE, Nalanda Institute of Engg & Tech, A.P, India PG Project Student, Dept of ECE, Nimra College of Engg., Vijayawada, A.P,India Assist. Prof, Dept of ECE, Priyadarshini Institute of Tech & Sci, A.P,India Associate Professor, Dept of ECE, SVIT, Anantapur, A.P, India
PRATHAP.C, SIRAJUN MUNIRA@SHAMIMA.S, KALAIVIZHI.P, STELLA.S Assistant Professor, Dept of UG studies in Engineering, Christ college of Engineering and technology, Puducherry, India UG Scholar, Dept of UG studies in Engineering, Christ college of Engineering and technology, Puducherry, India UG Scholar, Dept of UG studies in Engineering, Christ college of Engineering and technology, Puducherry, India UG Scholar, Dept of UG studies in Engineering, Christ college of Engineering and technology, Puduc
A.HEMA, E.ANNASARO PhD. Research scholar, Manonmaniam Sundaranar University, Tirunelveli, India Department of MCA, S.N.R.Sons College of Arts and Science, Coimbatore, India
JEYARAM.G, VIDHYA.V Faculty of CSE, Annai Vailankanni College of Engineering, Kanyakumari, India Faculty of CSE, Annai Vailankanni College of Engineering, Kanyakumari, India
ASHISH KUMAR, RIDHI GUPTA Assistant Professor, Dept. of ECE, Lord Krishna Collage of Engg, Ghaziabad, India Assistant Professor, Dept. of ECE, Lord Krishna Collage of Engg, Ghaziabad, India
BHUPESH KUMAR DEWANGAN, PRAVEEN SHENDE Asst. Professor, Dept. of CSE, C.S.I.T., Durg, India Asst. Professor, Dept. of CSE, C.S.I.T., Durg, India
DR.S.S.BEDI, MRS.JYOTI AGARWAL, PANKAJ AGARWAL Assistant Professor, Dept. of CSIT, IET,MJP Rohilkhand University, Bareilly, India Assistant Professor, Dept. of CS, SRMS, CET , Bareilly, India Scientist-D, Ministry of IT and Communication, NIC, Chandigarh, India
NISHA.V.S , M.JAYASHEELA PG Scholar, Department of ECE, SNS College of Technology, Coimbatore, India Associate Professor, Department of ECE, SNS College of Technology, Coimbatore, India
VIJAYALAKSHMI. S, RAJALAKSHMI@MANOCHITRA. J, JAYANAVITHRAA. C, RAMYA. L Assistant Professor, Dept of IT, Christ College of Engineering and Technology, Puducherry, India B. Tech, IT, Christ College of Engineering and Technology, Puducherry, India
R A.RESHMA, ANOOJA S, DEEPA ELIZABETH GEORGE Student, Dept. of ECE, Toc H Institute of Science and Technology, Cochin, India Student, Dept. of ECE, Toc H Institute of Science and Technology, Cochin, India Associate Professor Dept. of ECE, Toc H Institute of Science and Technology, Cochin, India
ABHIJEET RAIPURKA, G.R.BAMNOTE Final Year M.E. student, Dept. of CSE, PRMIT&R, Badnera (M.S), India Professor & Head, Dept. of CSE, PRMIT&R, Badnera (M.S), India
NEETA RANA, PRINCE RANA Head & Assistant Professor, Department of CSE, Rayat Bahra College of Engineering & Nano Technology for Women, Hoshiarpur, India Assistant Professor, Department of CSE, Rayat Bahra Institute of Engineering & Nano Technology, Hoshiarpur, India
PRAMOD KUMAR P, THIRUPATHI V, MONICA D Senior Asst. Professor, Department of Information Technology, SR Engineering College, Warangal, India Asst Professor, Department of Information Technology, SR Engineering College, Warangal, India Student, Department of Information Technology, SR Engineering College, Warangal, India
V.SUNITHA, VENKATA SATYA RAMESH BABU BATCHU, U.RAKESH, K.RAMAKRISHNA Assistant Professor, Department of CSE, Holy Mary Institute of Technology & Science, Hyderabad, India
M.VENKATA RAO, P.SRIKNTH, M.SRINIVASA RAO, RAMAKRISHNA Assistant Professor, Department of CSE, Holy Mary Institute of Technology & Science, Hyderabad, India
PRIYANKA KHATWANI, ARCHANA TIWARI Asst. Professor, Dept. of E&TC, Chhatrapati Shivaji Institute of Technology, Durg, India Assoc. Professor& Head, Dept. of E&TC, Chhatrapati Shivaji Institute of Technology, Durg, India
G.S.DEOKATE, PROF. MRS. V.M.DESHMUKH Final Year Master of Engineering, Department of CSE, PRMIT& R, Bandera (M.S), India Associate Professor, Department of CSE, PRMIT& R, Badnera (M.S), India
DIVYA.E , PROF. S.ARUMUGAM PG Scholar, Dept of ECE, SNS College of Technology, Coimbatore, India Head of the Dept, Dept of ECE, SNS College of Technology, Coimbatore, India
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Abstract
Iris Based Cryptography
SRUTHI B. ASOK, P.KARTHIGAIKUMAR, SANDHYA R, NAVEEN JAROLD K, SIVA MANGAI PG Scholar, Electronics and Communication Engineering, Karunya University, Coimbatore, India Associate Professor, Electronics and Communication Engineering, Karunya University, Coimbatore, India PG Scholar, Electronics and Communication Engineering, Karunya University, Coimbatore, India PG Scholar, Electronics and Communication Engineering, Karunya University, Coimbatore, India Associate Professor, Electronics and Communic
Abstract: Cryptography is a technique which uses mathematics to encrypt and decrypt data. Using cryptography information can be transmitted through insecure channel so that only the intended recipient can access .the secret key is extracted from the iris image so that security improves. This key is used to encrypt the data to be sent. Different tests are conducted to check the randomness of the key.
Detection Of Noise By Efficient Hierarchical Birch Algorithm For Large Data Sets
V.S.JAGADEESWARAN, P.UMA Assistant professor, Department of Information Technology, Dr.N.G.P Arts and Science College, Coimbatore, India M.phil Research Scholar, Department of Computer Science, Dr.N.G.P Arts and Science College, Coimbatore, India
Abstract: Data mining plays a vital role in Computer Field. A huge and valuable Knowledge is extracted from the large collection of data. Various techniques and algorithms are used for finding patterns from the large datasets.. Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely studied problems in this area is the identification of clusters or densely populated regions, in a multi-dimensional dataset. Clustering is one of the main techniques for grouping the data items based on their similarity. Outlier detection is one of the outstanding data mining tasks. Clustering methods have efficient algorithms for finding Outliers. Outlier detection has important applications in various data mining domains such as fraud detection, intrusion detection, customer’s behavior and employee’s performance analysis. In this paper we have taken the agriculture datasets for finding Outlier detection. Hierarchical Clustering methods have been compared and considered BIRCH Algorithm to be the best for finding noise and very effective for large datasets than the other hierarchical algorithms
Performance Enhancement in Congested Sensor Network using CAR and MCAR Protocol
SONALI KOLTE, PRATIKSHA CHAVAN, MADHURI KATE, SHRUTIKA DESAI, ASMEENA MHATE Student, IT, RMCET, Devrukh, India Professor, IT, RMCET, Devrukh, India
Abstract: Network congestion occurs when a link or node is carrying so much data that its quality of service deteriorates. The effects of network congestion are queuing delay, packet loss or the blocking of new connections. In order to recover packet loss some protocols retransmits packets, resulting in a stable congestive condition known as congestive collapse. The sensor is used to collect information and send it to destination. The protocol used to find all available paths in network are AODV, DSR, DVR.The CAR protocol which priorities the low and high priority data for reducing network traffic and efficient use of data-canter. According to priority, it will only forward high priority (HP) data and low priority (LP) data is routed out of the conzone. Working of a CAR protocol is partitioned into three parts which are: network formation, conzone discovery, and differentiated routing. MCAR is primarily a MAC-layer mechanism. It is used in conjunction with high priority data which is highly mobile. The sensors which are not fixed to particular area and continuously moving in such cases MCAR protocol is worth using because CAR does not deal with the sensors which are highly mobile in nature. A lightweight dynamic differentiated routing mechanism to accommodate mobile data sources used in MCAR.
Energy – Effectual Strategies for Conjunctive Multichannel MAC Protocols
B.SUNIL KUMAR, P.SIVACHANDRIKA, A.SHIVA KUMAR, K.SRINIVASULU Assitant Professor, IT, GPCET, Kurnool, India IV B.Tech II Sem, IT, GPCET, Kurnool, India
Abstract: This paper presents the energy efficient strategies and the importance of Altruistic approach in the absence of nearest neighboring nodes to the receiver. Two energy-efficient strategies are proposed: in-situ energy conscious DISH, which uses existing nodes only, and altruistic DISH, which requires additional nodes called altruists. Generally comparison is done with five protocols with respect to these strategies and identifies altruistic DISH to be the right choice in general: it 1) conserves 40-80 percent of energy, 2) maintains the throughput advantage, and 3) more than doubles the cost efficiency compared to protocols without this strategy. On the other hand, our study also shows that in-situ energy conscious DISH is suitable only in certain limited scenarios. a new notion of cooperation was proposed to solve multi-channel coordination problems. When a transmit- receive pair wishes to initiate communication, neighboring nodes share their knowledge of channel usage. This helps to substantially reduce collisions and increases throughput significantly. However, it comes at the cost of increased energy consumption since idle nodes have to stay awake to overhear and acquire channel usage information. In fact this can be as high as 264% of a power-saving protocol without cooperation. The core idea is to introduce specialized nodes called altruists in the network whose only role is to acquire and share channel usage information. All other nodes, termed peers, go in to the sleep mode when idle. This strategy seems naĂŻve because it needs additional nodes to be deployed.
Keywords: Cooperation, Energy Efficiency, MAC Protocol, Multi-Channel, in-situ energy conscious DISH, wireless ad hoc networks
An Alternative Indoor Localization Technique Based on Fingerprint in Wireless Sensor Networks
YETKIN TATAR, GUNGOR YILDIRIM Assoc. Professor, Department of Computer Eng., Firat University, Elazig, Turkey Electrical and Electronic Engineer, DSI IX. Regional Directorate, Elazig, Turkey
Abstract: Although several methods based on the RSSI measurement exist for localizing a mobile node in the WSN, a method which can produce precise results is still unavailable. In this study we present an alternative technique based on fingerprint which uses a minimum number of anchor nodes for the detection of the location of a mobile node. In this technique an indoor area is thought as a matrix consisting of rows and columns, and the location of the mobile node is expressed as a cell in this matrix. In the first phase the expanded RSSI map of the indoor area is constructed off-line. In the preceding phase on-line RSSI values and the expanded RSSI map are intersected to find possible cells. Then these cells are compared to the logical sub regions and the location of the mobile node is found. The proposed technique is tested in both simulation and in an experimental setup. The results are compared to the results of nearest neighbour method.
Keywords: WSN, RSSI, Fingerprint, Localization, Indoor Area
An Efficient Human Action Recognition System Using Single Camera and Feature Points
K.MAITHILI, K.RAJESWARI, R.MOHANAPRIYA, D.KRITHIKA Assistant Professor, Department of Information Technology, Christ College of Eng. and Technology, Puducherry, India B.Tech, Final Year, Department of Information Technology, Christ College of Eng. and Technology, Puducherry, India
Abstract: In this paper, an efficient human action recognition system using feature points , single camera method and based on neural network representation recognition is proposed. By now, indicating action videos is based on learning rarely related human body posture method called Self Organizing Maps (SOM). From human body posture by Fuzzy distances, prototypes will represent time in -variant action representation. An many number of cameras can be used in order to recognize actions using a Bayesian framework. The algorithm is used to train data from a multi-camera setup. Due to the growing interest in visual surveillance has led to human action recognition. So we propose a new and efficient method for human action recognition system using single camera and feature points. Our proposed method overcomes the problems in the existing system and recognizes the action of the required human. The system is developed in such a way, first it is trained using the feature extraction and feature tree method and then system will be capable of identifying the action from postures. We prove that our proposed is very efficient and can recognize actions quickly too.
Keywords: Human action recognition, multilayer perceptrons, feature tree, visual surveillance.
Effect of Feeding Techniques on the Radiation Characteristics of Patch Antenna: Design and Analysis
K.PRAVEEN KUMAR, K.SANJEEVA RAO, T.SUMANTH, N.MOHANA RAO, R.ANIL KUMAR, Y.HARISH Associate Professor Dept of ECE, Sri Vani School of Engineering, Chevuturu, A.P, India Project Students, Dept of ECE, Sri Vani School of Engineering, Chevuturu, A.P, India
Abstract: Micros strip rectangular patch antennas are attracting the attention of antenna designer, because of attractive advantages such low profile, light weight, easy of fabrication etc. but it also suffering with some drawbacks of low gain, narrow band width. These drawbacks can be overcome by some extent by taking care in design of antenna. There are many parameters effecting the radiating characteristics of antenna but in present project we are considering feeding of power to antenna because this plays important role. Here we are considering three different feed methods such as coaxial feed, inset feed and cut feed and their effects on radiating characteristics were analyzed on comparing with one to each other all the antenna parameters. The design was done in Ansoft HFSS version 13. The results of return loss, gain, bandwidth and FBR are presented.
Keywords: coaxial feed, strip feed, cut feed, band width, return loss, gain, FBR
Partial Template of Human Iris Patterns Recognition and identification using Neural Networks
M.GOPIKRISHNAN, PREETHY REBECCA P.G Student, Dept of CSE, St. Peter’s College of Engineering and Technology, Avadi, Chennai, India Assistant Professor, Dept of CSE, St. Peter’s College of Engineering and Technology, Avadi, Chennai, India
Abstract: Iris recognition is one of the most widely used biometric techniques for personal identification. Of all biometrics- based techniques, the iris-pattern-based systems have recently shown very high accuracies in verifying an individual’s identity. Each human iris has its unique visual pattern and local image features also vary from region to region, which leads to significant differences in robustness and distinctiveness among the feature codes derived from different iris regions. However, most state-of- the-art iris recognition methods use a uniform template size (20 X 480 ) , where template generated from different patterns of the same person. In this paper the Iris recognition has been carried out employing a template of size 20 X 480 pixels , 10 X 480 , and 10 x 360 pixels. The results of the sizes of the templates have been compared and it has been observed that the accuracy of the results obtained with the limited template size is comparable with that of the one with the full size. The reason is the reduction of the space requirement as well as time complexity with no loss in accuracy. The results of iris recognition performed applying Hamming distance, Feed forward back propagation, Cascade forward back propagation, Elman forward back propagation and perceptron as presented in this paper. It has been established that the method suggested applying Cascade forward back propagation provides the best accuracy in respect of iris recognition with no major additional computational complexity.
Prevention Strategies and Network Intrusion Prevention Techniques for Dos Attacks
ARSHEY.M, MR.C.BALAKRISHNAN PG Scholar, Dept. of CSE, S.A Engineering College, Chennai, Tamil Nadu, India Assistant Professor, Dept. of CSE, S.A Engineering College, Chennai, Tamil Nadu, India
Abstract: Some of the most exciting attacks done on networks today are those that are difficult to track, and requires very minimal effort on the attacker’s part. Denial of Service (DoS) has the most destructive effects among the various online attacks which is hindering the security. The security experts are in tremendous pressure, to bring out effective defence solutions for the various attacks occurring recently. Variety of tools and coding are used to implement these destructive attacks. DoS attack has managed to exist in the internet for more than a decade as there is no steady solution to prevent this attack. The Intrusion prevention system is used as an extension of Intrusion detection system as a prevention technique for the DoS attacks. Network Intrusion Detection and Prevention system analyzes the packets coming and going through the interface. The paper provides the idea of various types of DoS attacks, detecting them and preventing them. There are many methods which are available to detect and resist the DoS attack. The detection and prevention techniques shown are effective for small network topologies and can also be extended to analogous large domains.
Keywords: Denial of Service (DoS), Distributed Denial of Service, IDS (Intrusion Prevention System), IPS (Intrusion Prevention System), NIDS (Network Intrusion Detection System)
Detection of Misbehaving Packet Droppers and Modifiers in Wireless Networks Using an Adaptive Protocol
SUDHA.L, MUTHUKUMARASAMY.S PG Scholar, Dept. of CSE, S.A Engineering College, Chennai, Tamil Nadu, India Assistant Professor, Dept. of CSE, S.A Engineering College, Chennai, Tamil Nadu, India
Abstract: Some of the most exciting attacks done on networks today are those that are difficult to track, and requires very minimal effort on the attacker’s part. Denial of Service (DoS) has the most destructive effects among the various online attacks which is hindering the security. The security experts are in tremendous pressure, to bring out effective defence solutions for the various attacks occurring recently. Variety of tools and coding are used to implement these destructive attacks. DoS attack has managed to exist in the internet for more than a decade as there is no steady solution to prevent this attack. The Intrusion prevention system is used as an extension of Intrusion detection system as a prevention technique for the DoS attacks. Network Intrusion Detection and Prevention system analyzes the packets coming and going through the interface. The paper provides the idea of various types of DoS attacks, detecting them and preventing them. There are many methods which are available to detect and resist the DoS attack. The detection and prevention techniques shown are effective for small network topologies and can also be extended to analogous large domains.
Keywords: Denial of Service (DoS), Distributed Denial of Service, IDS (Intrusion Prevention System), IPS (Intrusion Prevention System), NIDS (Network Intrusion Detection System)
Performance Analysis of MB-OFDM System with QPSK and QAM for Wireless Communication
ARPITA MISHRA ,STUTI RASTOGI , RITU SAXENA ,PANKAJ SHARMA, SACHIN KUMAR Dept. of ECE, Moradabad Institute of Technology, Moradabad, GBTU, U.P., India
Abstract: In this paper, we have investigated the performance of MB-OFDM system with higher order QPSK/QAM mapping. The main objective of this paper is to compare the performance of these two modulation techniques with an AWGN channel in terms of BER (Bit Error Rate) and PSD (Power Spectral Density) in the system.
Tracking Attacks in Multicast Routing Through Wireless Mesh Networks
M.YAMUNA DEVI, S.AISHWARYA, R.HEMALTHA, J. VIJITHA ANANTHI Graduate, Dept. of ECE, Indus College of Engineering, Coimbatore, India Graduate, Dept. of ECE, Indus College of Engineering, Coimbatore, India Graduate, Dept. of ECE, Indus College of Engineering, Coimbatore, India Assistant Professor, Dept. of ECE, Indus College of Engineering, Coimbatore, India
Abstract: Identifying the attacks with high throughput in multicast routing for wireless mesh networks is a challenging task. Recently many protocols were proposed for mobile ad hoc network. Focusing primarily on network connectivity and using the number of hops as the route selection metric, this suffers from attacks. To address these challenging task attack should be identified during the metric manipulation is proposed and the attacked node is dropped out. Another path is selected for transmission by considering the link quality, packet delivery ratio, dropping ratio, packet delivery ratio-decrease ratio and high throughput with four sources and destinations in the same network and they are compared.
Keywords: Wireless mesh networks, metric manipulation attacks, high-throughput metrics, and packet delivery decrease ratio
The effect of dielectric permittivity on radiation characteristics of co-axially feed rectangular patch antenna: Design & Analysis
K.PRAVEEN KUMAR, K.SANJEEVA RAO ,V.MALLIKARJUNA RAO, K.UMA, A.SOMASEKHAR , C.MURALI MOHAN Associate Professor, Dept of ECE, Sri Vani School of Engineering, India Professor, Dept of ECE, Nalanda Institute of Engg & Tech, A.P, India PG Project Student, Dept of ECE, Nimra College of Engg., Vijayawada, A.P,India Assist. Prof, Dept of ECE, Priyadarshini Institute of Tech & Sci, A.P,India Associate Professor, Dept of ECE, SVIT, Anantapur, A.P, India
Abstract: Selection of proper substrate material is prime important task in microstrip patch antenna design. Because the limitations of micro strip antenna such as low gain, low efficiency and high return loss can overcome by selecting proper substrate materials, because permittivity of substrate is critical parameter in controlling band width, efficiency, and radiation pattern of patch antenna. The substrate materials have two basic properties such as dielectric constant and loss tangent. Present paper comprehensive study of various dielectric materials and its effect on radiation characteristics of rectangular patch antenna such as resonance frequency, bandwidth, gain, return loss, input impedance, radiation pattern, and current distributions are investigated. The dielectric materials selected here having zero loss tangent.
Keywords: dielectric constant, patch, loss tangent
CRF Based Secured Framework for Filtering Malicious Traffic
PRATHAP.C, SIRAJUN MUNIRA@SHAMIMA.S, KALAIVIZHI.P, STELLA.S Assistant Professor, Dept of UG studies in Engineering, Christ college of Engineering and technology, Puducherry, India UG Scholar, Dept of UG studies in Engineering, Christ college of Engineering and technology, Puducherry, India UG Scholar, Dept of UG studies in Engineering, Christ college of Engineering and technology, Puducherry, India UG Scholar, Dept of UG studies in Engineering, Christ college of Engineering and technology, Puduc
Abstract: Network security contains the provisions and policies adopted by a network administrator to prevent and monitor unauthorized access. It involves the authorization of access to data in a network. Filtering capabilities are available in access control lists (ACLs). It is typically stored in Ternary Content Addressable Memory (TCAM), whereas the size and cost of TCAM puts a limit on the number of filters, and this parallel access and reduces the number of lookups per forwarded is not expected to change in the near future. In this paper, we present a secured framework for filtering Malicious Traffic. This filtering framework is designed using CRF, where Conditional models are discriminative probabilistic systems that are used to model the conditional distribution over a set of random variables. Such models have been extensively used in the natural language processing tasks. Conditional models offer a better framework as they do not make any unwarranted assumptions on the observations and can be used to model rich overlapping features among the visible observations. The framework is designed such a way that the CRF are extensively trained by the models and then involved in the purpose of filtering malicious traffic in network. Our proposed method overcomes the problems in existing systems. We prove that our system is better than the existing system in both the terms of accuracy and efficiency
Secure Mechanism for Credit Card Transaction Fraud Detection System
ALKA HERENJ, SUSMITA MISHRA PG student, Dept. of CSE, Rajalakshmi Engineering College, Thandalam, Chennai, India Assistant Professor, Dept. of CSE, Rajalakshmi Engineering College, Thandalam, Chennai, India
Abstract: Credit Card Fraud is the most common, prevalent and costly crime in existence these days. Business rules, scorecards and known fraud matching methods are used in the existing system to detect frauds. However, all these methods have certain limitations. A new multilayered detection system is been proposed which is entirely data-mining based and they deal with real social relationships and finds spikes in duplicates and finally assigns suspicious scores which helps in identifying the fraudster. The data mining layers prevent fraudsters to attack and enhance a secure transaction. This research is totally concerned with credit card application fraud detection by performing the process of asking security queries to the persons involved in the transactions and as well as by removing real time data errors.
SUMA PATRA Assistant Professor, Dept. of Information Technology, KITS, Warangal, Andhra Pradesh, India
Abstract: Secure transmission of data plays a crucial role in the networks. To improve the security many methodologies have been proposed till now like cryptographic designs, intrusion detection, dynamic routing etc. In this paper we consider that the data transmission is done by using the concept of dynamic routing. Sometimes the sender may be neglecting the security due to the lack of personal interest, but the receiver has to take the utmost care. In such cases the receiver may force the sender to transmit the data packets by dynamically routing them in a network and crosschecks whether they are dynamically routed or not. From the source each individual packet will be transmitted through multiple paths i.e. through different nodes. If host name or IP Address of each such node (at first hop) is printed along with the data packet delivered through it, the receiver can ensure that the received data is transmitted in a secured manner.
Keywords: Security-enhanced data Transmission, Assurance, Host name, IP Address.
A.HEMA, E.ANNASARO PhD. Research scholar, Manonmaniam Sundaranar University, Tirunelveli, India Department of MCA, S.N.R.Sons College of Arts and Science, Coimbatore, India
Abstract: Increasing use of World Wide Web and communication channels like mobile networking has increased the number of images used throughout the world. Continuing advancements in both hardware and software coupled with higher end image processing and image vision tools, have made it possible to store huge amount of images. This increase in number of images and image databases has necessiated the need for image mining techniques. Image mining is an extended branch of data mining that is concerned with the process of knowledge discovery concerning digital images. The main aim of this paper is to present a survey of the various techniques used for image mining applications like image retrieval, Matching, Pattern recognition given by different researchers.
Efficient Resource Allocation Strategies for Cloud Data Centers
JEYARAM.G, VIDHYA.V Faculty of CSE, Annai Vailankanni College of Engineering, Kanyakumari, India Faculty of CSE, Annai Vailankanni College of Engineering, Kanyakumari, India
Abstract: Cloud computing has become a new age technology in enterprises and markets. Clouds allow access to applications and associated data from anywhere. Companies are able to rent resources from cloud for storage and other computational purposes so that their infrastructure cost can be reduced significantly. Further they can make use of company- wide access to applications, based on pay-as-you-go model. Hence there is no need for getting licenses for individual products. However one of the major pitfalls in cloud computing is related to optimizing the resources being allocated. Because of the uniqueness of the model, resource allocation is performed with the objective of minimizing the costs associated with it. The other challenges of resource allocation are meeting customer demands and application requirements. The performance limitations of existing economic allocation models are analysed by defining strategies to reduce the failure and reallocation rate, increase occupancy and thereby increase the obtainable utilization of the system. The high-performance resource utilization strategies presented can be used by market participants without requiring dramatic changes to the allocation protocol. The strategies considered include overbooking, advanced reservation, just-in-time bidding, and using substitute providers for service delivery. The proposed strategies have been implemented in a distributed meta scheduler and evaluated with respect to Grid and cloud deployments.
Designing of E-shaped Microstrip Antenna and Parameters Estimation using ANN
ASHISH KUMAR, RIDHI GUPTA Assistant Professor, Dept. of ECE, Lord Krishna Collage of Engg, Ghaziabad, India Assistant Professor, Dept. of ECE, Lord Krishna Collage of Engg, Ghaziabad, India
Abstract: The microstrip antenna finds its place in varied and upcoming technologies because it offers low profile, narrow bandwidth, high gain, and compact antenna element. The biggest disadvantage of microstrip antenna is its narrow bandwidth and poor impedance matching capacity. To make microstrip antenna compatible with commercial applications, the bandwidth enhancement and impedance matching of such antennas has to be done. In order to improve the bandwidth - L probe and U slot techniques should be utilized, as they are efficient to enhance the bandwidth. In this research, Microstrip patch antenna is integrated with coaxial feed technique. The impedance matching of antenna depends upon type and position of the feed because impedance matching of source at the feeding point of antenna is very important for efficient operation of antenna. But it is not an easy as it looks, it’s fairly difficult to be achieved for a simple microstrip patch antenna. To solve the problem an Artificial Neural Network (ANN) model has been proposed in this research. Artificial Neural Network is highly simplified model of biological neural network to calculate the parameters by estimation.
Keywords: Microstrip Patch Antenna; Microstrip Line feed; Coaxial Probe feed; NN tool; IE3D; ANN.
G.RAMANI Assistant Professor, Department of MCA, Padamasri Dr. B. V. Raju Institute of Technology, Narasapur, Medak Dist., India
Abstract: Rough set theory is a powerful mathematical tool that has been applied widely to extract knowledge from many databases .Rough set theory is proposed to mine rules from the Data warehouse. It constructs concise classification rules for each concept satisfying the given classification accuracy. Due to some drawbacks we suggest rough set with clustering methods to achieve more precision and Shows greater accuracy results in the proposed approach where groups a set of data so that the intra-cluster similarity is maximized and the inter-cluster similarity is minimized.
The Sliding Window Method: An Environment To Evaluate User Behavior Trust In Cloud Technology
BHUPESH KUMAR DEWANGAN, PRAVEEN SHENDE Asst. Professor, Dept. of CSE, C.S.I.T., Durg, India Asst. Professor, Dept. of CSE, C.S.I.T., Durg, India
Abstract: Trust is one of the most concerned obstacles for the adoption and growth of cloud computing. Although several solutions have been proposed recently in managing trust feedbacks in cloud enviornemts, how to determine the credibility of trust feedback in a cloud environments is difficult problem due to unpredictable numbers of cloud services consumers and highly dynamic nature of cloud environments. In the cloud computing, due to users directly use and operate the software and OS, and even the basic programming environment and network infrastructure which provided by the cloud service providers, so the impact and destruction of the software and hardware cloud resources in cloud computing are worse than the current Internet users who use it to share resources. Therefore, that whether user behavior is trusted, how to evaluate user behavior trust is an important research content in cloud computing. In this paper we mainly discusses evaluation importance of user behavior trust and evaluation strategy, in the cloud computing, including trust object analysis, principle in evaluating user behavior trust, the basic idea of evaluating user behavior trust, evaluation strategy of behavior trust for each access, and long acsess. In trust evaluation, behavior evidence is the fundamental basis of behavior evaluation. But at present, researchers almost directly use node behavior results or use a third party’s evaluation results to synthesize it, not study the original evidence of node behavior and ignore an analysis of node behavior history, which limit the reliability, rationality and sharing of trust. Drawing on the characteristics of social trust and trust requirement, we first put forward basic criteria about evaluating node behavior trust, and then bring forward a kind of evaluation mechanism on node behavior trust based on sliding window model. Keyword: - Node Behavior Trust, Trust Evaluation, Evaluation Principles, Sliding Window.
Image Fusion Techniques and Quality Assessment Parameters for Clinical Diagnosis: A Review
DR.S.S.BEDI, MRS.JYOTI AGARWAL, PANKAJ AGARWAL Assistant Professor, Dept. of CSIT, IET,MJP Rohilkhand University, Bareilly, India Assistant Professor, Dept. of CS, SRMS, CET , Bareilly, India Scientist-D, Ministry of IT and Communication, NIC, Chandigarh, India
Abstract: Image fusion is a tool that serves to combine multi sensors images by using advanced image processing techniques. Particularly it serves best in medical diagnosis i.e. computed tomography (CT), magnetic resonance image (MRI), scan provides different types of information, by fusing them we can get accurate information for better clinical diagnosis. Transform domain image fusion methods such as wavelet transform, curvelet transform have its specific advantages while going for multi-sensors image fusion. Analysis is done to determine the image fusion algorithm which is more suitable for clinical diagnosis. Analysis is also done on image quality assessment parameters of image fusion. This paper presents a literature review on image fusion techniques and image quality assessment parameters such as Structural similarity index measure, laplacian mean squared error, mean squared error, Peak signal to noise ratio, entropy, structural content, Normalized cross correlation, Maximum difference, normalized absolute error. Comparison and effective use of all the techniques in image quality assessment is also determined.
Speaker Identification Using Combined MFCC and Phase Information
NISHA.V.S , M.JAYASHEELA PG Scholar, Department of ECE, SNS College of Technology, Coimbatore, India Associate Professor, Department of ECE, SNS College of Technology, Coimbatore, India
Abstract: Speaker recognition is the identification of the person who is speaking by the characteristics of their voices. To improve the performance of speaker recognition systems, an effective and robust method is proposed to extract speech features, capable of operating in noisy environment. For capturing the characteristics of the signal, the Mel-Frequency Cepstral Coefficients (MFCC) are calculated. Gaussian Mixture Models (GMMs) are used for the recognition stage as they give better recognition for the speakers’ features. In conventional speaker recognition methods based on MFCC, phase information has been ignored. The proposed method integrated the phase information with MFCC on the speaker recognition method. Comparison of the proposed approach with the MFCCs conventional feature extraction method shows that the proposed method improves the recognition rate.
Gene Expression Data Analysis Using Automatic Spectral MEQPSO Clustering Algorithm
VIJAYALAKSHMI. S, RAJALAKSHMI@MANOCHITRA. J, JAYANAVITHRAA. C, RAMYA. L Assistant Professor, Dept of IT, Christ College of Engineering and Technology, Puducherry, India B. Tech, IT, Christ College of Engineering and Technology, Puducherry, India
Abstract: In the field of Genetics, thousands of gene expression levels are measured simultaneously, using Microarray Technology. In this technology, Gene Clustering approach is used to discover the similarity of biological function within the genes. In this approach, many clustering algorithms are used. In this paper a new algorithm - Spectral MEQPSO for clustering gene datasets is proposed, based on MEQPSO and Automatic clustering algorithms. MEQPSO algorithm is a promising method in gene clustering, which provide an ability of stronger global convergence towards an optimal solution. By using Spectral algorithm, cluster number can be selected automatically during the cluster process, which reduces the overall time taken to cluster the genes.
Bearing Only Tracking Using Extended Kalman Filter
R A.RESHMA, ANOOJA S, DEEPA ELIZABETH GEORGE Student, Dept. of ECE, Toc H Institute of Science and Technology, Cochin, India Student, Dept. of ECE, Toc H Institute of Science and Technology, Cochin, India Associate Professor Dept. of ECE, Toc H Institute of Science and Technology, Cochin, India
Abstract: Extended Kalman filter (EKF) is widely used for tracking moving objects like missiles, aircrafts, robots etc. In this paper we examine the case of a single sensor or observer bearing only tracking (BOT) problem for two different models. In model 1, the target is assumed to have a constant velocity and constant course. In model 2, the target is assumed to follow a coordinated turn model with constant velocity but varying course. Extended Kalman Filter is used to track the target in both cases. The goal of this paper is to demonstrate how the performance of the filter is affected by the initial assumptions and measurement error variances in these two models. Simulation results have been presented, which demonstrate the effect of initial assumptions and measurement error covariance on the performance of the filter.
Keywords: Extended kalman filter, Bearing only tracking, manoeuvring target, coordinated turn model
Query Processing In Distributed Database Through Data Distribution
ABHIJEET RAIPURKA, G.R.BAMNOTE Final Year M.E. student, Dept. of CSE, PRMIT&R, Badnera (M.S), India Professor & Head, Dept. of CSE, PRMIT&R, Badnera (M.S), India
Abstract: Query processing in a distributed system requires the transmission of data between computers in a network. The arrangement of data transmissions and local data processing is known as a distribution strategy for a query. Two cost measures, response time and total time are used to judge the quality of a distribution strategy. Various algorithms are used that derive distribution strategies which have minimal response time and minimal total time, for a special class of queries. The optimal algorithms are used as a basis to develop a general query processing algorithm. The integration of a query processing subsystem into a distributed database management system is used for analyzing query response time across fragmentations of global relations. Distributed query processing is an important factor in the overall performance of a distributed database system. The database queries access the applications on the distributed database sites thus the main problem incurred is the minimization of the total operating cost i.e. communication cost and processing In order to optimize queries accurately, adequate information must be accessible to determine which data access techniques are most effective e.g. table and column cardinality, organization information, and index availability.
Keywords: Fragmentation, optimize queries, table and column cardinality, index
NEETA RANA, PRINCE RANA Head & Assistant Professor, Department of CSE, Rayat Bahra College of Engineering & Nano Technology for Women, Hoshiarpur, India Assistant Professor, Department of CSE, Rayat Bahra Institute of Engineering & Nano Technology, Hoshiarpur, India
Abstract: Query processing in a distributed system requires the transmission of data between computers in a network. The arrangement of data transmissions and local data processing is known as a distribution strategy for a query. Two cost measures, response time and total time are used to judge the quality of a distribution strategy. Various algorithms are used that derive distribution strategies which have minimal response time and minimal total time, for a special class of queries. The optimal algorithms are used as a basis to develop a general query processing algorithm. The integration of a query processing subsystem into a distributed database management system is used for analyzing query response time across fragmentations of global relations. Distributed query processing is an important factor in the overall performance of a distributed database system. The database queries access the applications on the distributed database sites thus the main problem incurred is the minimization of the total operating cost i.e. communication cost and processing In order to optimize queries accurately, adequate information must be accessible to determine which data access techniques are most effective e.g. table and column cardinality, organization information, and index availability.
Keywords: Fragmentation, optimize queries, table and column cardinality, index
Applications of Shape Memory Alloys in MEMS Devices
S.MUKESH KUMAR, M.VANITHA LAKSHMI PG Scholar, Dept of PG Studies, S.A Engineering College, Chennai, India Assistant Professor, Dept of PG Studies, S.A Engineering College, Chennai, India
Abstract: The position control in shape memory alloys are difficult because of its non linear thermo mechanical behaviour, hence they are generally designed in two stable positions i.e. Austenite Phase ( High temperature state) and Martensite Phase ( Low temperature state). Shape memory alloys are the material that has the ability to retain to its original shape when heated. SMAs has high resistivity that produces joule heating effect when current is applied. TiNi SMA has many properties which make is it significant in MEMS devices. In this paper The NiTi - Si Shape memory thin film based based microcantilever was designed which has three stable positions. The effect of temperature over the NiTi-Si thin film based microcantilever and the effect of change of structural dimensions of cantilever is analysed. It demonstrates a way to have multiple stable positions in an SMA device, which can have some significant advantages in many real engineering applications..
MINAL NEHETE, MADHURI LOKHANDE, KRANTI AHIRE Student, Dept of Computer Engineering, JSPM’s BSIOTR(W), Pune, India Student, Dept of Computer Engineering, JSPM’s BSIOTR(W), Pune, India Student, Dept of Computer Engineering, JSPM’s BSIOTR(W, Pune, India
Abstract: Security is one of the most challenging issues in the field of communication networks. Denial-of-service (DoS) attacks on wireless networks (WNs) can deplete network resources and energy without much effort on the part of an adversary. Packet dropping attacks are one category of DoS attacks. In a wireless networks packet dropping and modification are more common attacks that can be launched by an attacker to disrupt communication. Current techniques for detecting such attacks need to monitor every node in the network. Once they detect malicious nodes that drop packets, a new path has to be found that does not include them. In this paper, we propose a scheme, which can identify misbehaving forwarders that drop or modify packets in the wireless networks. DAV protocol is implemented to detect misbehaving node to drop packets. An adaptive mechanism is developed to encrypt packet from packet modifiers. The goal is to mitigate packet dropper and modifier in wireless networks.
Enhancements in Mobility Management for Future Wireless Networks
PRAMOD KUMAR P, THIRUPATHI V, MONICA D Senior Asst. Professor, Department of Information Technology, SR Engineering College, Warangal, India Asst Professor, Department of Information Technology, SR Engineering College, Warangal, India Student, Department of Information Technology, SR Engineering College, Warangal, India
Abstract: The tremendous demands from social market are pushing the booming development of mobile communications faster than ever before, leading to emergence of new advanced techniques. The paper describes about the need for enhancements in mobility management for current and future communication networks and the integration of these heterogeneous networks for a smooth handoff and better Quality of Service (QoS) in the context of next evolutionary step for wireless communication networks. The macro and micro mobility solutions for Mobile IP are analysed and a comparative study is done among HMIP, Cellular IP and HAWAII protocols. The latest changes for Handoff management and location registration are investigated and an outline of the problems regarding the handoffs and QoS to be addressed by the next generation of wireless networks is discussed.
Directional consistency and Relational consistency Concept Factorization for Text Clustering
V.SUNITHA, VENKATA SATYA RAMESH BABU BATCHU, U.RAKESH, K.RAMAKRISHNA Assistant Professor, Department of CSE, Holy Mary Institute of Technology & Science, Hyderabad, India
Abstract: This Paper is to extract the underlying concepts which are consistent with the low-dimensional manifold structure with the hope that this will facilitate further processing, such as clustering. Central to our approach is a graph model which captures the local geometry of the text submanifold. Thus, we call it Locally Consistent Concept Factoriaztion.The graph Laplacian, analogous to the Laplace-Beltrami operator on manifolds, can be used to smooth the text-to-concept mapping. Thus, the obtained concepts can well capture the intrinsic geometrical structure and the texts associated with similar concepts can be well clustered. The euclidean and manifold geometry is unified through a regularization framework where a regularization parameter controls their balance. Although the new approach is no longer optimal in the sense of reconstruction error in euclidean space, it has a better interpretation from manifold perspective. Moreover, like CF, our method also can be performed in RKHS which gives rise to nonlinear mappings.
Accomplished Self-Curative Key Dispersion in Mobile Ad-hoc Networks
M.VENKATA RAO, P.SRIKNTH, M.SRINIVASA RAO, RAMAKRISHNA Assistant Professor, Department of CSE, Holy Mary Institute of Technology & Science, Hyderabad, India
Abstract: This Paper is to extract the underlying concepts Self-CURATIVE key DISPERSION schemes are particularly useful when there is no network infrastructure or such infrastructure has been destroyed. A self-CURATIVE mechanism can allow group users to recover lost session keys and is therefore quite suitable for establishing group keys over an unreliable network, especially for infrastructure less wireless networks, where broadcast messages loss may occur frequently In this project, we will propose an ACCOMPLISHED self-CURATIVE key DISPERSION scheme with sponsorization capability. The main contribution of this project is highlighted by the following properties: The distance between two broadcasts which are used to recover the lost one can be set according to the underlying wireless networks. Working in this way facilitates a shorter length of the broadcast messages. More users of the group can sponsor a new user to join the group for subsequent sessions without any interaction with the group manager. The storage overhead of personal keys at each group user is a polynomial, which will not increase with the number of sessions. This project presents an analysis of security and efficiency. Findings performed here suggest that the proposed scheme outperforms other self-CURATIVE key DISPERSION schemes in term of the length of broadcasts, sponsorization, and storage overhead.This proposed project is implemented using the Java Microedition package which has the ability to code for the mobile devices. We also use the Sun java wireless toolkit to simulate the running of the project before deploying in the real world environment.
A survey on different noise removal techniques of EEG signals
PRIYANKA KHATWANI, ARCHANA TIWARI Asst. Professor, Dept. of E&TC, Chhatrapati Shivaji Institute of Technology, Durg, India Assoc. Professor& Head, Dept. of E&TC, Chhatrapati Shivaji Institute of Technology, Durg, India
Abstract: Electroencephalogram (EEG) signal is the recording of spontaneous electrical activity of the brain over a small interval of time. Signals are produced by bombardment of neurons within the brains which are measured and evaluated by EEG.EEG signals are lowvoltage signals that are contaminated by various types of noises that are also called as artifacts.As these signals are used to diagnose various types of brain related diseases like narcolepsy,Sleep apneasyndrome,Insomnia and parasomnia it becomes necessary to make these signals free from noise for proper analysis and detection of the diseases. Variousnoise removal techniques are available and can be implemented in mat lab. The methods that are discussed in this paper are: ICA,PCA, WaveltTransform and WaveletPacketTransform. All the above methods can be implemented for EEG signal denoising.Various methods of denoising are studied and considering advantages and disadvantages of all the methods it is concluded that wavelet method of denoising and its enhancement wavelet packet is best.
Keywords: EEG, PCA, ICA, Wavelt Transform and Wavelet Packet Transform.
Personalized Ontology Construction: A Review Study
G.S.DEOKATE, PROF. MRS. V.M.DESHMUKH Final Year Master of Engineering, Department of CSE, PRMIT& R, Bandera (M.S), India Associate Professor, Department of CSE, PRMIT& R, Badnera (M.S), India
Abstract: Personalized ontologies are a conceptualization model that formally describes and specifies user background knowledge. We know that, web users might have different expectations for the same search query. For example, for the topic “New York”, business travellers may have demand for different information from leisure travellers. Same user may have different expectation for the same search query if applied in the different conditions. A user may become a business traveller when planning for a business trip, or a leisure traveller when planning for a family holiday. From this observation an assumption is formed that web users have a personal concepts model for their information needs, a user’s concept model may change according to different information needs. In this paper we study construction of personalized ontology from world knowledge base.
Keywords: World knowledge base, Ontology, Web personalization, Semantic Relations
High Speed and Low Power implementation of 3-Weight Pattern Generation Based on Accumulator
DIVYA.E , PROF. S.ARUMUGAM PG Scholar, Dept of ECE, SNS College of Technology, Coimbatore, India Head of the Dept, Dept of ECE, SNS College of Technology, Coimbatore, India
Abstract: The hardware overhead and fault coverage of a circuit is an important problem in integrated circuits and systems. To overcome this problem pseudorandom built-in-self-test (BIST) generators have been widely utilized to test integrated circuits and systems. A Pseudorandom pattern generator (PRPG) is used for generating test patterns (TPG). A weighted Pseudorandom built-in-self-test (BIST) schemes have been utilized in order to drive down the number of vectors to achieve complete fault coverage in BIST applications. Weighted sets comprising three weights, namely 0, 1, and 0.5 have been successfully utilized so far for test pattern generation, since they result in both low testing time and low consumed power. Since accumulators are commonly found in current VLSI chips, this scheme can be efficiently utilized to drive down the hardware of BIST pattern generation, as well. The test patterns are generated automatically (ATPG) for a benchmark circuit by using 3-weight pattern generator. So, in this part of project maximum numbers of faults are covered with automatic test pattern generation.
Keywords: ATPG - Automatic Test Pattern Generation, BIST- Built In Self-Test, CUT - Circuit Under Test, LT RTPG – Low transition Random Test Pattern Generation, LFSR – Linear Feedback Shift Register.
