Абстрактный

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

K.G.S.Venkatesan

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.