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基于扩展贝叶斯分类算法的网络安全检测
引用本文:孙亚男,宁士勇,刘文俊.基于扩展贝叶斯分类算法的网络安全检测[J].计算机工程与设计,2004,25(6):954-957.
作者姓名:孙亚男  宁士勇  刘文俊
作者单位:1. 清华大学,北京,100084;哈尔滨中央红集集团,黑龙江,哈尔滨,150010
2. 清华大学,北京,100084;哈尔滨商业大学,黑龙江,哈尔滨,150076
3. 中南财经政法大学,信息学院,湖北,武汉,430000
摘    要:很多网关系统和入侵检测系统被设计来保护自身网络系统的安全,其中一种安全隐患是现有网关系统的不完备性和入侵检测系统的虚警和漏警。总结了前人成果,将贝叶斯算法进行了改进并与之融合,对原有的入侵检测算法提出了改进,得到了一个新的模型。该模型提高了入侵检测系统的完备性和准确性,更有效地保障了网络系统的安全。

关 键 词:贝叶斯算法  网络安全  入侵阻止  入侵检测  规则检测  网关系统
文章编号:1000-7024(2004)06-0954-04

Expanding Bayes algorithm in network security model
SUN Ya-nan,NING Shi-yong,LIU Wen-jun.Expanding Bayes algorithm in network security model[J].Computer Engineering and Design,2004,25(6):954-957.
Authors:SUN Ya-nan  NING Shi-yong  LIU Wen-jun
Abstract:Although various gateway and intrusion detection system have been designed to protect system security, they work with a hidden trouble on the imperfectness of gateway and the error diagnosis of intrusion detection system. The traditional Bayes algorithm in the intrusion detection system is improved, and the absolute coordinate is used to replace the relative coordinate, so it is easy to see the detected objeet's manner with in the scope of rules or out of the normal behavior. Besides, this model weakens the requent for independence of all the object's behavior and so it improves performance of intrusion detection system and protec-tects the security of information system more effectively.
Keywords:Bayes algorithm  security of network  intrusion prevention  intrusion detection  rule detection  ruleless detection  
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