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Clustering-Based Self-learning Approach for Security Rules in Industrial Communication Protocol
Wan M(万明); Shang WL(尚文利); Zeng P(曾鹏)
作者部门工业控制网络与系统研究室
会议名称International Conference on Mechatronics and Intelligent Robotics, ICMIR 2017
会议日期May 20-21, 2017
会议地点Kunming, China
会议录名称Advances in Intelligent Systems and Computing
出版者Springer Verlag
出版地Berlin
2017
页码257-263
收录类别EI
EI收录号20174704440321
产权排序1
ISSN号2194-5357
ISBN号978-3-319-65977-0
关键词Modbus/tcp Self-learning K-means Algorithm White-listingrule
摘要Modbus/TCP, which is a widely used industrial communication protocol, has serious security flaws because of its openness and simplicity, and developing security mechanisms based on Modbus/TCP is very hot topic. However, it is an onerous task to set rules manually for these security mechanisms. In this paper, we propose a clustering-based self-learning approach for security rules to facilitate the rule setting when carrying out the Modbus/TCP defense. Furthermore, our approach analyzes the address information from Modbus/TCP packets in depth, and automatically learns the address range setting in the white-listing rules by using the K-means algorithm. Our experimental results show that, the proposed approach is very available and effective to generate the white-listing rules for Modbus/TCP.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/21240
专题工业控制网络与系统研究室
通讯作者Wan M(万明)
作者单位Key Laboratory of Networked Control System Chinese Academy of Sciences, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Wan M,Shang WL,Zeng P. Clustering-Based Self-learning Approach for Security Rules in Industrial Communication Protocol[C]. Berlin:Springer Verlag,2017:257-263.
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