计算机应用 ›› 2016, Vol. 36 ›› Issue (6): 1538-1543.DOI: 10.11772/j.issn.1001-9081.2016.06.1538

• 网络空间安全 • 上一篇    下一篇

基于攻击规划图的实时报警关联方法

张靖, 李小鹏, 王衡军, 李俊全, 郁滨   

  1. 信息工程大学 密码工程学院, 郑州 450001
  • 收稿日期:2015-11-23 修回日期:2016-02-26 出版日期:2016-06-10 发布日期:2016-06-08
  • 通讯作者: 张靖
  • 作者简介:张靖(1991-),男,安徽滁州人,硕士研究生,主要研究方向:仿真、信息安全;李小鹏(1980-),男,陕西三原人,讲师,硕士,主要研究方向:信息安全;王衡军(1973-),男,湖南衡阳人,副教授,博士,主要研究方向:人工智能、信息安全;李俊全(1965-),男,河北涿州人,教授,博士生导师,博士,主要研究方向:密码学、信息安全;郁滨(1964-),男,河南郑州人,教授,博士生导师,博士,主要研究方向:信息安全、无线通信、系统工程。
  • 基金资助:
    信息保障技术重点实验室开放基金资助项目(20151014)。

Real-time alert correlation approach based on attack planning graph

ZHANG Jing, LI Xiaopeng, WANG Hengjun, LI Junquan, YU Bin   

  1. College of Cryptography Engineering, Information Engineering University, Zhengzhou Henan 450001, China
  • Received:2015-11-23 Revised:2016-02-26 Online:2016-06-10 Published:2016-06-08
  • Supported by:
    This work is partially supported by the National Key Laboratory Foundation of Information Security Support Technologies (20151014).

摘要: 针对报警因果关联分析方法存在无法及时处理大规模报警且攻击场景图分裂的不足,提出一种基于攻击规划图(APG)的实时报警关联方法。该方法首先给出APG和攻击规划树(APT)的定义;其次,根据先验知识构建APG模型,并提出基于APG的实时报警关联方法,重建攻击场景;最后,结合报警推断完善攻击场景和预测攻击。实验结果表明,该方法能够有效地处理大规模报警和重建攻击场景,具有较好的实时性,可应用于分析入侵攻击意图和指导入侵响应。

关键词: 报警关联, 因果关系, 攻击规划图, 攻击场景, 报警推断, 实时性

Abstract: The alert correlation approach based causal relationship has the problems that it cannot be able to process massive alerts in time and the attack scenario graphs split. In order to solve the problem, a novel real-time alert correlation approach based on Attack Planning Graph (APG) was proposed. Firstly, the definition of APG and Attack Planning Tree (APT) were presented. The real-time alert correlation algorithm based on APG was proposed by creating APG model on basis of priori knowledge to reconstruct attack scenario. And then, the attack scenario was completed and the attack was predicted by applying alert inference mechanism. The experimental results show that, the proposed approach is effective in processing massive alerts and rebuilding attack scenarios with better performance in terms of real-time. The proposed approach can be applied to analyze intrusion attack intention and guide intrusion responses.

Key words: alert correlation, casual relationship, Attack Planning Graph (APG), attack scenario, alert inference, real-time

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