Model of Proactive Malicious Code Propagation and Vaccine Contradiction in P2P Network
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Abstract
A new contradiction and propagation model of proactive malicious code and vaccine in P2P network is proposed based on in-depth analysis of the active malicious code characteristics in P2P network. Considering two factors of active malicious codes and vaccines, the model differentiates peers into 4 kinds of status, such as susceptible status, infected status, healed status and disabled status. The node conversion law between different states is also pointed out. The proposed model and its related parameters have been tested by simulation experiments. Experimental results indicate that the proposed model is in accordance with the actual situations and its correctness and rationality is verified.
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