信息网络安全 ›› 2019, Vol. 19 ›› Issue (11): 8-13.doi: 10.3969/j.issn.1671-1122.2019.11.002

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一种面向S7协议的工控系统入侵检测模型

田峥, 李树(), 孙毅臻, 黎曦   

  1. 国网湖南省电力有限公司信息通信分公司,湖南长沙 410000
  • 收稿日期:2019-09-16 出版日期:2019-11-10 发布日期:2020-05-11
  • 作者简介:

    作者简介:田峥(1983—),男,湖南,高级工程师,博士,主要研究方向为网络与信息安全;李树(1991—),男,湖南,工程师,博士,主要研究方向为网络信息安全、无线信道建模;孙毅臻(1990—),男,湖南,工程师,硕士,主要研究方向为网络安全、关键信息基础设施安全;黎曦(1982—),女,湖南,高级工程师,硕士,主要研究方向为网络安全。

Industrial Control System Intrusion Detection Model Based on S7 Protocol

Zheng TIAN, Shu LI(), Yizhen SUN, Xi LI   

  1. State Grid Hunan Electric Power Company Limited Information and Communication Branch,Changsha Hunan 410000, China
  • Received:2019-09-16 Online:2019-11-10 Published:2020-05-11

摘要:

随着“中国制造2025”战略的提出,工业控制网络和互联网技术的融合程度也越来越高,同时工业控制网络的封闭性在一定程度上被打破,使得工业控制网络安全问题日益严重。S7协议是德国西门子公司的私有协议,广泛应用于工控网络的通信过程中。文章提出一种基于深度解析和白名单自学习的工控复合入侵检测模型,该模型利用深度解析算法实现对S7协议包的解析,通过白名单自学习算法动态构建白名单,采用白名单检测和异常行为检测相结合的复合入侵检测方法来检测异常。实验证明,该方法能有效检测出工业控制网络中异常的S7协议包,在5000个/s的发包速率下检测精度可达到98.3%。

关键词: 协议解析, 入侵检测, 白名单自学习, S7协议

Abstract:

With the proposal of “made in China 2025” strategy, the integration of industrial control network and Internet technology is getting higher and higher. At the same time, the closeness of industrial control network has been broken to a certain extent, making the problem of industrial control network security increasingly serious. S7 protocol is a private protocol of Siemens company in Germany, which is widely used in the communication process of industrial control network. This paper proposes an industrial control composite intrusion detection model based on deep analysis and white list self-learning. The model uses deep analysis algorithm to realize the analysis of S7 data packets, dynamically builds a white list through white list self-learning algorithm, and uses the composite intrusion detection method of white list detection and abnormal behavior detection to detect anomalies. The experiments show that the method can effectively detect the abnormal S7 protocol packets in the industrial control network, and the detection accuracy can reach 98.3% at 5000/s packet rate.

Key words: protocol analysis, intrusion detection, white list self-learning, S7 protocol

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