A Bayesian Classification Approach to Detect Intrusion in P2P Network

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Provided by: International Journal of Computer Science and Management Studies (IJCSMS)
Topic: Mobility
Format: PDF
P2P network is the most common network type that is available in real time scenarios. This kind of network can be wired or the wireless network. The network can be controlled by a controller node or the network unit to perform the controlled network communication. This kind of network suffers from different kind of internal and external attacks. In this paper, a centralized system is defined to identify various over the P2P networks. To identify the attack, a Bayesian network approach is defined in this work. The paper is suggested based on the statistical dataset that is obtained on centralized server.
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