一种基于小区分层挖掘的高伪装病毒检测

Hierarchical Mining High Camouflage Virus Detection Based on A Community

为了提高网络入侵检测准确率,提出一种基于小区分层挖掘的高伪装病毒检测算法,通过对病毒特征建立多种约束,并且建立病毒检测分层约束模型,对病毒特征进行检测。实验结果表明,相对传统网络入侵检测方法,该算法的检测速度快,检测准确率高,为网络安全提供可靠保障。

The paper proposes a kind of based on hierarchical mining area of high camouflage virus detection algorithm, based on characteristics of virus establish a constraint, and establish virus detection layered constraint model, the characteristics of virus detection. The experimental results show that in comparison with the traditional network intrusion detection method, the algorithm of the detection speed, high accuracy detection for network security, provide a reliable guarantee.