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Malicious software or Malware is the software developed with malicious intentions. Hackers use it for spoiling computer programs or to get access to sensitive information. The detection of such malware can be done by writing program which can understand the dynamics of malware. Towards this end this paper presents an analytical model which can effectively characterize the true nature of malware and how it spreads in P2P networks such as Gnutella. The proposed model is compartmental model which involves derivation of network conditions and system parameters in such a way that under those parameters and conditions the underlying P2P network reaches a malware free equilibrium. The proposed model can also perform evaluation of strategies such as quarantine used to control malware spread. Afterwards the model has been enhanced and tested with networks of smart cell phones. The empirical results revealed that the proposed model is effective and useful.

Preclusion Measures for Protecting P2P Networks from Malware Spread