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	A method for HMM-based system calls intrusion detection based on hybrid training algorithm
	Wang, Panhong ; Shi, Liang ; Wang, Beizhan ; Liu, Yangbin ; Wu, Yuanqin ; Shi L(史亮) ; Wang BZ(王备战)
	2011
关键词	Conference calls Evolutionary algorithms Hidden Markov models
英文摘要	Conference Name:2011 International Conference on Information and Automation, ICIA 2011. Conference Address: Shenzhen, China. Time:June 6, 2011 - June 8, 2011.; HMM (Hidden Markov Model) is a very important intrusion detection tool. The classical HMM training algorithm is a climbing algorithm. It can only find a local optimal solution. To improve the accuracy of HMM training, this paper introduces a hybrid algorithm into intrusion detection. Experiments show that this algorithm can find a more accurate model. ? 2011 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICINFA.2011.5949013
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85850]
专题	软件学院－会议论文
推荐引用方式 GB/T 7714	Wang, Panhong,Shi, Liang,Wang, Beizhan,et al. A method for HMM-based system calls intrusion detection based on hybrid training algorithm. 2011-01-01.

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