04-05-2012, 03:49 PM
Dynamics of malware spread in decentralized peer to peer networks
Project overview:
In this project we formulate an analytical model to characterize the spread of malware in decentralized peer-to-peer (P2P) networks and study the dynamics associated with the spread of malware. Using a compartmental model, we derive the system parameters or network conditions under which 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. The model is then extended to consider the impact of P2P networks on the malware spread in networks of smart cell phones.
Existing System:
In Existing system we don’t to how the virus is spreading from one computer to another in network. Here we always think that our system is affected by virus but we don’t know how it is coming.
Proposed System:
The use of peer-to-peer (P2P) networks as a vehicle to spread malware offers some important advantages over worms that spread by scanning for vulnerable hosts. This is primarily due to the Methodology employed by the peers to search for content. For instance, in decentralized P2P architectures such as Gnutella [1] where search is done by flooding the network, a peer forwards the query to its immediate neighbors and the process is repeated until a specified file is found in the network. A relevant example here is the Mandragore worm [2] that affected users. Having infected a host in the network, the worm cloaks itself for other users. Every time a user searches for files in the infected computer, the virus always appears as an answer to the request, leading the user to believe that it is the file the user searched for.