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工业防火墙规则生成与优化的自学习方法
Alternative TitleSelf-learning method for generation and optimization of industrial firewall rules
尚文利; 乔全胜; 万明; 曾鹏
Department工业控制网络与系统研究室
Source Publication计算机工程与设计
ISSN1000-7024
2016
Volume37Issue:7Pages:1752-1756,1786
Contribution Rank1
Funding Organization国家863高技术研究发展计划基金项目(2015AA043901)
Keyword工业防火墙 规则生成 规则优化 自学习 “白名单”规则
Abstract为更加方便快捷地设置工业防火墙规则,提出一种工业防火墙规则生成与优化的自学习方法。根据数据包捕获和分析进行数据预处理,通过自学习模块产生防火墙规则集,针对规则集进行合并优化,减少规则数目,缩短数据包匹配长度。实验数据对比分析结果表明,该方法降低了数据包匹配时间,随着规则数目的增加该优势更加明显。
Other AbstractTo make the rule setting more convenient, a self-learning method for the generation and optimization of industrial firewall rules was presented. According to packet capturing and analyzing, the data preprocessing was accomplished. The firewall rule set was generated by the self-learning module. The rule set was optimized to reduce the number of rules and shorten the packet matching length. Experimental and comparative results show that the proposed method reduces the packet matching time and has more obvious advantages with the number of rules increases.
Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/18821
Collection工业控制网络与系统研究室
Corresponding Author尚文利
Affiliation1.中国科学院沈阳自动化研究所
2.中科院网络化控制系统重点实验室
3.沈阳建筑大学信息与控制工程学院
Recommended Citation
GB/T 7714
尚文利,乔全胜,万明,等. 工业防火墙规则生成与优化的自学习方法[J]. 计算机工程与设计,2016,37(7):1752-1756,1786.
APA 尚文利,乔全胜,万明,&曾鹏.(2016).工业防火墙规则生成与优化的自学习方法.计算机工程与设计,37(7),1752-1756,1786.
MLA 尚文利,et al."工业防火墙规则生成与优化的自学习方法".计算机工程与设计 37.7(2016):1752-1756,1786.
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