Variable-length signatures for intrusion detection
Patra, Jagdish Chandra
Date of Issue2008
School of Computer Engineering
Intrusion detection has become a basic infrastructure to guarantee the security of most internetworking applications. With more internetworking applications in the Internet nowadays, enormous volume of audit trails are produced for the analysis within intrusion detection. For this reason, it is critical to reduce the detection computation of intrusion detection to meet the realtime detection requirement. In this paper, using a formal intrusion detection framework, we propose a new concept of variable-length signature, along with feature selection, to compress the behavior models of our intrusion detection system, USAID, that achieves promising detection performance. Intuitively, compact behavior models will make the detection process computationally much cheaper. Our experimental results show that the proposed technique will degrade the detection rate of unknown intrusions, and fortunately, that it achieves a high detection rate for known intrusions with a significantly reduced false alarm rate. As a result, compared to USAID, the size of the behavior model is decreased by 99.52%, and the detection computation is cut down by 81.15% at least.
DRNTU::Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Computer systems science and engineering
© 2008 CRL Publishing. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Computer Systems Science & Engineering, CRL Publishing. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [Article URL: http://arnetminer.org/publication/variable-length-signatures-for-intrusion-detection-3465859.html].