Applied artificial immune on P2P network virus detection technology for information security

Existing virus detection methods to detect malicious using signature cannot adapt to the virus technology development, it cannot detect virus effectively, especially for new virus. Inspired by natural immune, an improved distributed network detection model of P2P network using immune and virus code relevance is proposed. The feature detection function and various parts such as feature extraction and information fusion are described in this paper. The relevance between virus codes is used to extract the feature of computer virus. We match the feature of malicious code automatically by Rabin fingerprinting algorithm and adopt a strategy of distributed information fusion on subsequent fingerprint based on computer immune. Finally, we propose an improved malicious code detection algorithm in distributed system. This malicious code detection method is suitable for large-scale network.