Prediction of Varied Network Attacks using Data Mining Techniques – A Review
Abstract: In computer networks, an attack is an attempt to seize, immobilize, destroy, modify, or gain unauthorized access to or make unauthorized use of an asset. Network attacks can cause network services slow, temporarily unavailable, or down for a long period of time. The main aim of this work is to find different types of network attacks and detection techniques to resolve malicious attacks in the network flow. It is necessary for users and network administrator to detect these attacks before they cause damage to the system. Data mining techniques will help the network administrators to identify new network attacks in current scenario.
Keywords: Networks, malicious attacks, Data Mining
How to Cite:
[1] R. Thilakavathi, P. Kalaivani, “Prediction of Varied Network Attacks using Data Mining Techniques – A Review,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.51159
