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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)
Department工业控制网络与系统研究室
Conference NameInternational Conference on Mechatronics and Intelligent Robotics, ICMIR 2017
Conference DateMay 20-21, 2017
Conference PlaceKunming, China
Source PublicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Publication PlaceBerlin
2017
Pages257-263
Indexed ByEI
EI Accession number20174704440321
Contribution Rank1
ISSN2194-5357
ISBN978-3-319-65977-0
KeywordModbus/tcp Self-learning K-means Algorithm White-listingrule
AbstractModbus/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.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/21240
Collection工业控制网络与系统研究室
Corresponding AuthorWan M(万明)
AffiliationKey Laboratory of Networked Control System Chinese Academy of Sciences, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China
Recommended Citation
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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