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HMMs based masquerade detection for network security on with parallel computing

文献类型：期刊论文

作者Liu, Jia1,2; Duan, Miyi1; Li, Wenfa3; Tian, Xinguang4
刊名COMPUTER COMMUNICATIONS
出版日期2020-04-15
卷号156页码:168-173
关键词Masquerade detection Shell command Anomaly detection Hidden Markov model
ISSN号0140-3664
DOI10.1016/j.comcom.2020.03.048
英文摘要Masquerade detection is currently an active research topic in the field of network security. This paper presents a novel method for detecting masquerade attacks based on hidden Markov models (HMMs), which applies to host-based intrusion detection systems using Unix or Linux shell commands as audit data. The method employs multiple command sequences of different lengths to represent the behavioral patterns of a legitimate user and constructs a specific HMM to characterize the normal behavior profile of the user. Moreover, the adaptability and precision of user profiling are definitely taken into account. During training, the parameters of the HMM are calculated by parallel computing that is less computationally expensive than the classic Baum-Welch algorithm. At the detection stage, the occurrence probabilities of short state sequences are first computed to analyze behavior deviations that may indicate masquerade attacks, and two alternative decision schemes can be used to classify the monitored user's behavior as normal or anomalous. The method addresses both detection accuracy and computational efficiency and is especially suitable for online detection. Our study empirically demonstrates the promising performance of the method.
资助项目National Natural Science Foundation of China[61841601] ; Science and Technology Projects of Beijing Municipal Education Commission, China[KM201911417011] ; Premium Funding Project for Academic Human Resources Development in Beijing Union University, China[BPHR2018EZ01]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000528265900016
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/15431]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Duan, Miyi; Li, Wenfa
作者单位1.Beihang Univ, Sch Comp Sci & Engn, Beijing Key Lab Digital Media, Beijing, Peoples R China
2.Beijing Union Univ, Smart City Coll, Beijing, Peoples R China
3.Beijing Union Univ, Coll Robot, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Jia,Duan, Miyi,Li, Wenfa,et al. HMMs based masquerade detection for network security on with parallel computing[J]. COMPUTER COMMUNICATIONS,2020,156:168-173.
APA Liu, Jia,Duan, Miyi,Li, Wenfa,&Tian, Xinguang.(2020).HMMs based masquerade detection for network security on with parallel computing.COMPUTER COMMUNICATIONS,156,168-173.
MLA Liu, Jia,et al."HMMs based masquerade detection for network security on with parallel computing".COMPUTER COMMUNICATIONS 156(2020):168-173.

入库方式： OAI收割

来源：计算技术研究所

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