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出 处:《通信学报》2015年第9期135-144,共10页Journal on Communications
基 金:国家自然科学基金资助项目(61101108)~~
摘 要:现有基于攻击图(attack graph)的告警关联分析方法难以全面处理告警关联关系,同时,漏报推断和告警预测带来大量冗余路径误报。针对以上问题提出了基于攻击图的多源告警关联分析算法,能够综合应用图关系和阈值限制进行联动推断和预测,达到更为全面解决攻击图中的告警漏报和减少误报数量的目的。同时,将告警处理算法并行化,提出了AG-PAP告警并行处理引擎。实验表明,该方法能够提升关联分析的有效性和性能表现。Current attack graph-based alert correlation cannot deal with graph relation between alerts properly, and a large number of redundant attack paths may arise when trying to find out missing alerts and predict future attacks. A multi-source alert analyzing method was proposed, fully utilizing graph relation and threshold to correlate mapped alerts and eventually reduce false positive rate as well as true negative rate. To improve the speed of the algorithm, a parallel alert processing system(AG-PAP) was proposed. AG-PAP is tested on distributed environment which gets satisfied effectiveness and performance.
分 类 号:TP302[自动化与计算机技术—计算机系统结构]
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