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Research Paper | Information Technology | Volume 5 Issue 2, February 2016 | Pages: 1465 - 1469 | India
PTP Method in Network Security for Misbehavior Detection Using Entropy
Abstract: A PTP method in network security for misbehavior detection system is a method of detecting malicious misbehavior activity within networks. The System detects the malicious node and blocks them by adding into Blacklist. Malicious nodes are the compromised machine present in the network, which performs the task given by bot server i. e. it does not forward the legitimate message to another node in network or send some other message to neighbor node. This system is based on Probabilistic threat propagation and Entropy. When the monitored network runs in normal way, the entropy values are relatively smooth. Otherwise, the entropy value of one or more features would changes. This proposed scheme is use 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) we consider the task of detecting malicious node in network.
Keywords: Botnet, Blacklist, Community Detection, Graph Algorithms, Network Security
How to Cite?: Neha Pathak, R. S. Apare, "PTP Method in Network Security for Misbehavior Detection Using Entropy", Volume 5 Issue 2, February 2016, International Journal of Science and Research (IJSR), Pages: 1465-1469, https://www.ijsr.net/getabstract.php?paperid=NOV161452, DOI: https://dx.doi.org/10.21275/NOV161452