Volume 3 Number 2 (Feb. 2008)
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JSW 2008 Vol.3(2): 15-22
doi: 10.4304/jsw.3.2.15-22

Intusion Detection Prototype Based on ADM-Logic

Mehdi Talbi 1 , Meriam Ben Ghorbel-Talbi 1 , Mohamed Mejri 2

  • 1 Digital Security Unit, Higher School of Communication, SUP’COM Tunis, Tunisia
  • 2 LSFM Research Group, Computer Science Department, Laval University, Quebec, Canada

Abstract

Intrusion detection systems (IDS) are considered nowadays as one of the most important components in the security architecture of information systems. For a Misuse-based IDS, also known as signature based IDS, the efficiency of detection is highly correlated to the quality of signatures. It is therefore very important to select a suitable formal language that provides both high expressiveness and simplicity when specifying attack signatures. It is also fundamental to have a user friendly and automatic tool allowing the specification and the verification of these signatures. This paper shows the efficiency and the suitability of the ADM-logic as a formal language to specify properties characterizing a large variety of attack scenario, and focus on the design and implementation details of our intrusion detection prototype based on this logic.

Keywords

  • intrusion detection system
  • ADM-Logic
  • T
jsw0302-02

How to Cite

Copied

Mehdi Talbi, Meriam Ben Ghorbel-Talbi, and Mohamed Mejri, "Intusion Detection Prototype Based on ADM-Logic," Journal of Software, vol. 3, no. 2, pp. 15-22, 2008. https://doi.org/ 10.4304/jsw.3.2.15-22

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).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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