doi: 10.4304/jsw.2.6.14-21
Anomaly Detection Using System Call Sequence Sets
- 1 Dept of Computer Sc. and Engg, M.A. College of Engineering, .Kothamangalam, India
- 2 Dept of Computer Science, Cochin University of Science and Technology, Kochi, India
Abstract
This paper discusses our research in developinga generalized and systematic method for anomaly detection.The key ideas are to represent normal program behaviourusing system call frequencies and to incorporateprobabilistic techniques for classification to detectanomalies and intrusions. Using experiments on thesendmail system call data, we demonstrate that concise andaccurate classifiers can be constructed to detect anomalies.An overview of the approach that we have implemented isprovided.
Keywords
- Intrusion
- Security
- Anomaly
How to Cite
Surekha Mariam Varghese and K. Poulose Jacob, "Anomaly Detection Using System Call Sequence Sets," Journal of Software, vol. 2, no. 6, pp. 14-21, 2007. https://doi.org/ 10.4304/jsw.2.6.14-21
Copyright & License
Copyright © 2007 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).