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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
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.
← Back to VOLUME 6, ISSUE 7, JULY 2017

“Implementation and Comparative Analysis of PTP in Network Security for Malicious Misbehavior Activity Detection”

Tejaswini S. Akulwar, P. S. Kulkarni

DOI: 10.17148/IJARCCE.2017.6723

Abstract: A PTP approach in network security for misbehavior detection system present a method for detecting malicious misbehavior activity within networks. Along with the detection, it also blocks the malicious system within the network and adds it to Blacklist. Malicious node defined as a compromised machine within the network that performs the task provided by i.e. it does not forward the legitimate message to another node in the network or sends some other message to a neighbor node. This system is based on Probabilistic threat propagation. This scheme is used in graph analysis for community detection. The proposed system enhances the prior community detection work by propagating threat probabilities across graph nodes. To demonstrate Probabilistic Threat Propagation (PTP) considers the task of detecting malicious node in the network. Proposed System also shows the relationship between PTP and loopy belief propagation.



Keywords: PTP, Malicious, Blacklist, Probabilistic, legitimate.

How to Cite:

[1] Tejaswini S. Akulwar, P. S. Kulkarni, ““Implementation and Comparative Analysis of PTP in Network Security for Malicious Misbehavior Activity Detection”,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6723