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基于信息融合的入侵检测系统研究 被引量:1

Research of Intrusion Detection System Based on Information Fusion
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摘要 研究在入侵检测中,采用信息融合的方法,试图解决当前入侵检测系统中存在的问题。提出了用于入侵检测的信息融合模型,并应用贝叶斯网络的多书传播算法给出了信息融合的方法。采用和挑选DARPA2000中的数据作为样本,通过实验验证,基于信息融合技术的入侵检测方法能够提高检测度,降低误报率。 In the research of the intrusion detection, we use the method of information fusion to resolve the high rate problem of false alarm in Intrusion Detection System. A model of information fusion used in intrusion detection was raised; a method of information fusion used Bayesian networks was given. We use the data in DARPA2000 as samples, by experiment, we found the method of intrusion detection based on information fusion can improve the monitoring and reduce false alarm rate.
出处 《计算机安全》 2009年第1期9-11,共3页 Network & Computer Security
关键词 入侵检测 信息融合 贝叶斯网络 intrusion detection information fusion bayesian networks game theory
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