NDLI: Study on the applications of hidden Markov models to computer intrusion detection

Content Provider	IEEE Xplore Digital Library
Author	Zhong Anming Jia Chunfu
Copyright Year	2004
Description	Author affiliation: Coll. of Inf. Technol. & Sci., Nankai Univ., Tianjin, China (Zhong Anming; Jia Chunfu)
Abstract	In this paper, the problem of the applications of HMM (hidden Markov model) to computer intrusion detection is discussed. Both first-order HMM and second-order HMM are tested to compare their performances of computer intrusion detection. HMMs are used to build a profile of normal activities on a computer from the training data of normal activities on the computer. The norm profile is then used to detect anomalous activities from testing data of both normal and intrusive activities on the computer for intrusion detection. Using the data set of DARPA 2000 LLDOS 1.0, our experiments show that first-order HMM reveals better intrusion detection performance than that of second-order HMM.
Sponsorship	Zhejian Univ. Nat. Lab. of Ind. Control Technol. IEEE Robotics and Automation Soc. Nat. Natural Sci. Found. of China Chinese Assoc. of Automation
Starting Page	4352
Ending Page	4356
File Size	318862
Page Count	5
File Format	PDF
ISBN	0780382730
DOI	10.1109/WCICA.2004.1342335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Application software Hidden Markov models Intrusion detection Information systems Pattern recognition Telecommunication traffic Frequency Electronic mail Testing Computer bugs
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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