Automatic Detection and Control of Malware Spread in Decentralized Peer To Peer Network

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Networking
Format: PDF
Peer-to-peer networks provide a paradigm shift from the traditional client server model of most networking applications by allowing all users to act as both clients and servers. Formulating an analytical model to characterize the spread of malware in decentralized, Gnutella type Peer-To-Peer (P2P) networks and the dynamics associated with the spread of malware are used. Compartmental model is used to derive the system parameters or network conditions so that the P2P network may reach a malware free equilibrium. The model also evaluates the effect of control strategies like node quarantine on stifling the spread of malware.

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