Network Threat Behavior Detection and Trend Analysis Based on the Collaborative Model

Dong Ma, Yongjun Wang
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引用次数: 0

Abstract

In this paper, we present a network detection method based on collaborative model of network threat attacks, as well as trend analysis of network structure. First of all, the collaborative model is given a specific framework, build process and collaborative mechanisms. Then ripe for pattern matching algorithm and behavioral sequence template for a simple introduction to this approach, and explains how to use the collaborative model structure. Finally, the security situation of the entire network is analyzed by a quantitative situation evaluating model, The experiment results shows that, during its running in an intranet security guard system of a large enterprise, the next-step attack can be predicted by our algorithm, and the security situation of the entire network can be accurately evaluated as well.
基于协同模型的网络威胁行为检测与趋势分析
本文提出了一种基于网络威胁攻击协同模型的网络检测方法,并对网络结构进行了趋势分析。首先,给出了协作模型的具体框架、构建过程和协作机制。然后对成熟的模式匹配算法和行为序列模板进行了简单的介绍,并说明了如何使用协作模型结构。最后,利用定量态势评估模型对整个网络的安全态势进行了分析,实验结果表明,该算法在某大型企业内网安全防范系统运行过程中,能够预测出下一步的攻击,并能准确评估整个网络的安全态势。
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