doi: 10.4304/jsw.3.6.21-28
Constraint-based Trend Template for Intrusion Detection
- 1 Software Engineer, iSoftel Co. Ltd., Bangkok, Thailand
- 2 Computer Science and Engineering, Kathmandu University, Nepal
- 3 School of Engineering and Computer Science (SECS), Independent University, Bangladesh (IUB)
Abstract
Intrusion detection systems (IDS) are specialcomputer security tools which help detect intrusionattempts. Misuse based detection is one of the techniqueswhich is used by IDS to recognize predefined attacksignatures. Attack languages, also known as detectionlanguages, are used to describe attack signatures. Detectionlanguages should be simple, expressive and flexible enoughto help encode event signature accurately and conveniently.This paper shows the effectiveness of constraint basedTrend Template (TT) as an efficient detection language byencoding some attack scenarios and focusing on the TrendDetector which recognizes those signatures from intrusiondata.
Keywords
- Intrusion detection system (IDS)
- TrendT
How to Cite
Md. Ahsan Habib, Krishna Prasad Paudel, Mohammad Rajiullah, and Prashanta Man Shrestha, "Constraint-based Trend Template for Intrusion Detection," Journal of Software, vol. 3, no. 6, pp. 21-28, 2008. https://doi.org/ 10.4304/jsw.3.6.21-28
Copyright & License
Copyright © 2008 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).