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提出了一种基于 P2P 的大规模分布式网络恶意代码检测模型,描述了系统各个部分的功能与实现。该模型利用改进的 Rabin 指纹算法实现了对恶意代码特征码的自动提取。提出了基于子序列指纹的分布式存储的信息融合策略,并在此基础上给出了分布式架构下的恶意代码检测算法。这种方法适用于大规模网络中的恶意代码的检测。
A large-scale distributed network malicious code detection model based on P2P is proposed, which describes the functions and implementation of each part of the system. This model uses the improved Rabin fingerprint algorithm to extract the malicious code signature automatically. A distributed information fusion strategy based on sub-sequence fingerprinting is proposed. On the basis of this, a malicious code detection algorithm based on distributed architecture is proposed. This method is suitable for the detection of malicious code in large-scale networks.