A Method for HMM-Based System Calls Intrusion Detection Based on Hybrid Training Algorithm

摘要：

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.

作者: Panhong Wang Liang Shi Beizhan Wang Yangbin Liu Yuanqin Wu

作者单位: Software School Xiamen University Xiamen,China

会议类型: 国际会议

会议名称: 第八届IEEE信息与自动化国际会议(ICIC 2011)

会议地点: 深圳

会议语种:英文

页码: 339-342

在线出版日期: 2011-06-06（万方平台首次上网日期，不代表论文的发表时间）