中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on Self-Learning Method on Generation and Optimization of Industrial Firewall Rules

文献类型:会议论文

作者Shang WL(尚文利); Wan M(万明); Zeng P(曾鹏); Qiao QS(乔全胜)
出版日期2015
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
关键词Industrial Firewall intrusion detection Self-learning method "White-list" rule
页码47-52
中文摘要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.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2nd International Conference on Information Security and Cyber Forensics (InfoSec2015)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4673-6988-6
WOS记录号WOS:000380508600009
源URL[http://ir.sia.cn/handle/173321/17416]  
专题沈阳自动化研究所_工业控制网络与系统研究室
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]. 见:2nd International Conference on Information Security and Cyber Forensics (InfoSec2015). Cape Town, South Africa. November 15-17, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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