基于行为的蠕虫检测和签名生成

Yu Yao, Junwei Lv, Fu-xiang Gao, Yanfang Zhang, Ge Yu
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引用次数: 5

摘要

基于签名的方法的高效率和实时性保证了大多数已知蠕虫的早期检测;而基于行为的方法则根据蠕虫不同于正常网络流量的行为特征来搜索蠕虫的通信模式。为了提高检测率和准确率,提出了扩散型通信模式和链式通信模式两种检测算法和分布式检测架构。通过对检测结果的分析,本文提出的检测方法可以实现对已知和未知蠕虫的检测,具有较高的检测率和准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavior-Based Worm Detection and Signature Generation
High efficient and real-time characteristic of the signature-based approach guarantee the early detection of most known worms; while behavior-based approach searches for communication pattern of worms in accordance with their behavioral characteristics that are different from normal network traffic. To improve the detection rate and accuracy, two detection algorithms for diffuse type communication pattern and chain communication pattern and distributed detection architecture are proposed. Through analysis on detection result, the detection approach presented here can realize detection of both known and unknown worms with a high detection rate and accuracy.
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