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基于D-S理论的入侵检测系统 被引量：2

D-S theory-based intrusion detection system
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摘要 单一的检测方法很难对所有的入侵获得很好的检测结果。所以,怎样将多种安全方法结合起来,为网络提供更加有效的安全保护,已经成为当前安全领域的研究热点之一。提出了一种基于数据融合的入侵检测系统,并将证据理论引入到网络安全中的入侵检测领域。该系统能够有效地解决单一检测算法无法对所有入侵都有很好检测效果的缺陷,并且相对于单一检测方法系统具有更好的可扩展性和鲁棒性。 It is hard for single security measure to attain favourable detection result. Therefore, how to combine muhiplicate security measures to provide the network system with more effective protection becomes one of the hot spots in current research. A data fusion based intrusion detection system was proposed in this paper. Muhiplicate detection measures were ＂fused＂ in this system to solve the problem that single measures can not obtain good result for all intrusions, and the system has better scalabilities and robustness.
作者 赵晓峰
机构地区 河北工程大学信息管理系
出处 《计算机应用》 CSCD 北大核心 2008年第9期2255-2258,共4页 journal of Computer Applications
关键词 入侵检测 证据理论 数据融合 intrusion detection evidence theory data fusion
分类号 TP309.2 [自动化与计算机技术—计算机系统结构]
  • 相关文献

参考文献7

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共引文献5

同被引文献23

  • 1李昆仑,黄厚宽,田盛丰,刘振鹏,刘志强.模糊多类支持向量机及其在入侵检测中的应用[J].计算机学报,2005,28(2):274-280. 被引量：49
  • 2肖云,韩崇昭,郑庆华,王清.一种基于多分类支持向量机的网络入侵检测方法[J].西安交通大学学报,2005,39(6):562-565. 被引量：13
  • 3诸葛建伟,王大为,陈昱,叶志远,邹维.基于D-S证据理论的网络异常检测方法[J].软件学报,2006,17(3):463-471. 被引量：54
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  • 10Ciza T, Balakrishnan N.Performance enhancement of intrusion detection systems using advances in sensor fusion[C]//Proceedings of the llth International Conference on Information Fusion, 2008 : 1-7.

引证文献2

二级引证文献16

计算机应用
2008年 第9期

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