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Towards Automatic Deduction and Event Reconstruction Using Forensic Lucid and Probabilities to Encode the IDS Evidence


Towards Automatic Deduction and Event Reconstruction Using Forensic Lucid and Probabilities to Encode the IDS Evidence

Mokhov, Serguei A., Paquet, Joey and Debbabi, Mourad (2010) Towards Automatic Deduction and Event Reconstruction Using Forensic Lucid and Probabilities to Encode the IDS Evidence. In: Recent Advances in Intrusion Detection. Lecture Notes in Computer Science, 6307 . Springer, pp. 508-509. ISBN 978-3-642-15511-6

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flucid-raid2010.pdf - Submitted Version

Official URL: http://dx.doi.org/10.1007/978-3-642-15512-3_36


We apply the theoretical framework and formal model of the observation tuple with the credibility weight for forensic analysis of the IDS data and the corresponding event reconstruction. Forensic Lucid - a forensic case modeling and specification language is used for the task. In the ongoing theoretical and practicalwork, Forensic Lucid is augmented with the Dempster-Shafer theory of mathematical evidence to include the credibility factors of the evidential IDS observations. Forensic Lucid's toolset is practically being implemented within the General Intensional Programming System (GIPSY) and the probabilisticmodel-checking tool PRISM as a backend to compile the Forensic Lucid model into the PRISM’s code and model-check it. This work may also help with further generalization of the testing methodology of IDSs.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Concordia University > Research Units > Computer Security Laboratory
Item Type:Book Section
Authors:Mokhov, Serguei A. and Paquet, Joey and Debbabi, Mourad
Journal or Publication:Lecture Notes in Computer Science
Series Name:Lecture Notes in Computer Science
  • Forensic Lucid
  • General Intensional Programming System (GIPSY)
  • Faculty of Engineering and Computer Science, Concordia University, Montreal
Digital Object Identifier (DOI):10.1007/978-3-642-15512-3_36
Keywords:Forensic Lucid, intrusion detection, IDS, theory of mathematical evidence
ID Code:15117
Deposited By: Serguei Mokhov
Deposited On:30 Sep 2011 15:08
Last Modified:18 Jan 2018 17:35


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