Volume 2 Number 6 (Dec. 2007)
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JSW 2007 Vol.2(6): 14-21 ISSN: 1796-217X
doi: 10.4304/jsw.2.6.14-21

Anomaly Detection Using System Call Sequence Sets

Surekha Mariam Varghese1, K. Poulose Jacob2
1Dept of Computer Sc. and Engg, M.A. College of Engineering, .Kothamangalam, India
2Dept of Computer Science, Cochin University of Science and Technology, Kochi, India

Abstract—This paper discusses our research in developing a generalized and systematic method for anomaly detection. The key ideas are to represent normal program behaviour using system call frequencies and to incorporate probabilistic techniques for classification to detect anomalies and intrusions. Using experiments on the sendmail system call data, we demonstrate that concise and accurate classifiers can be constructed to detect anomalies. An overview of the approach that we have implemented is provided.

Index Terms—Intrusion, Security, Anomaly

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Cite: Surekha Mariam Varghese, K. Poulose Jacob, " Anomaly Detection Using System Call Sequence Sets," Journal of Software vol. 2, no. 6, pp. 14-21, 2007.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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