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Computer Engineering ›› 2010, Vol. 36 ›› Issue (13): 149-150,153. doi: 10.3969/j.issn.1000-3428.2010.13.052

• Networks and Communications • Previous Articles     Next Articles

DFA-based Algorithm for Detecting Web Attacks

YANG Xiao-feng, SUN Ming-ming, HU Xue-lei   

  1. (Department of Computer, Nanjing University of Science and Technology, Nanjing 210094)
  • Online:2010-07-05 Published:2010-07-05

一种基于DFA的网络攻击检测算法

杨晓峰,孙明明,胡雪蕾   

  1. (南京理工大学计算系,南京 210094)
  • 作者简介:杨晓峰(1982-),男,博士研究生,主研方向:网络安全,模式识别;孙明明,讲师;胡雪蕾,副教授
  • 基金资助:
    江苏省“六大人才高峰”计划基金资助项目(07-E-015)

Abstract: A DFA-based grammar model for detecting cyber attacks is proposed. Normal network behavior tends to follow regular grammar rules, while anomalies tend to deviate. The DFA-based model trained with normal network flow enables the efficient detection of cyber attacks against Web servers. The experiments based on real Web site data show its good detection performance.

Key words: network security, intrusion detection, grammar inference

摘要: 提出一种基于确定有限自动状态机(DFA)语法的网络攻击检测方法。正常的网络行为符合一定的语法规则,异常的行为会偏离正常的语法规则。通过对正常行为样本的学习得到基于DFA的语法,用学习得到的DFA模型检测针对网络服务器的应用层攻击。基于现实数据的对比实验表明该方法检测性能较好。

关键词: 网络安全, 入侵检测, 语法推断

CLC Number: