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Research on Self-Learning Method on Generation and Optimization of Industrial Firewall Rules
Shang WL(尚文利); Wan M(万明); Zeng P(曾鹏); Qiao QS(乔全胜)
作者部门工业控制网络与系统研究室
会议名称2nd International Conference on Information Security and Cyber Forensics (InfoSec2015)
会议日期November 15-17, 2015
会议地点Cape Town, South Africa
会议录名称2nd International Conference on Information Security and Cyber Forensics (InfoSec2015)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码47-52
收录类别EI ; CPCI(ISTP)
EI收录号20162302460902
WOS记录号WOS:000380508600009
产权排序1
ISBN号978-1-4673-6988-6
关键词Industrial Firewall Intrusion Detection Self-learning Method "white-list" Rule
摘要In order to make the rule setting more convenient, this paper presents a self-learning method on the generation and optimization of industrial firewall rules. This method includes three parts: packet preprocessing, rule self-learning and rule optimization. First, packet capturing and analysis accomplish the data preprocessing; Secondly, by using the self-learning module, this method generates the firewall rule set. Finally, the rule set is optimized to reduce the number of rules and shorten the packet matching length. Experiments and comparative results show that the proposed method meet effectiveness and real-time requirements of industrial control system communication control.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17416
专题工业控制网络与系统研究室
通讯作者Shang WL(尚文利)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
2.Information and Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, China
推荐引用方式
GB/T 7714
Shang WL,Wan M,Zeng P,et al. Research on Self-Learning Method on Generation and Optimization of Industrial Firewall Rules[C]. Piscataway, NJ, USA:IEEE,2015:47-52.
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