基于安全日志的攻击模式挖掘算法

2017 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2017-07-01 DOI:10.1109/ISI.2017.8004918

Keyi Li, Yang Li, Jianyi Liu, Ru Zhang, Xi Duan

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引用次数: 6

摘要

提出了一种从海量安全日志中提取攻击模式的攻击模式挖掘算法。采用改进的模糊聚类算法生成序列集。然后利用PrefixSpan从序列集中挖掘频繁序列。实验结果表明，该算法能够有效地挖掘攻击模式，提高准确率，生成更有价值的攻击模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Attack pattern mining algorithm based on security log

This paper proposes an attack pattern mining algorithm to extract attack pattern in massive security logs. The improved fuzzy clustering algorithm is used to generate sequence set. Then PrefixSpan is used to mine frequent sequence from the sequence set. The experimental results show that this algorithm can effectively mine the attack pattern, improve the accuracy and generate more valuable attack pattern.

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2017 IEEE International Conference on Intelligence and Security Informatics (ISI)

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