doi: 10.4304/jsw.2.6.42-52
Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems
- Burgas Free University, Burgas, Bulgaria
Abstract
The anomaly-based intrusion detection systemsexamine current system activity do find deviations fromnormal system activity. The present paper proposes amethod for normal activity description using the HiddenMarkov Models (HMM), which is tuned up using thegradient based method. The obtained model is utilized as abaseline, depicting the normal system activity. The mainpurpose is to distinguish the normal traces of user activityfrom abnormal ones using the BCJR decoding algorithm.Some results from the conducted simulation experimentsare introduced as well.
Keywords
- intrusion detection
- anomaly-based intru
How to Cite
Veselina G. Jecheva and Evgeniya P. Nikolova, "Learning Problem and BCJR Decoding Algorithm in Anomaly-based Intrusion Detection Systems," Journal of Software, vol. 2, no. 6, pp. 42-52, 2007. https://doi.org/ 10.4304/jsw.2.6.42-52
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).