Merging Guaranteed Possibilistic Bases to Rank IDS Alerts

  • Lydia Bouzar-BenlabiodEmail author
  • Lila Meziani
  • Nacer-Eddine Rim
  • Zakaria Mellal
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10868)


Intrusion Detection Systems (IDS) are security tools that generate alerts when detecting a malicious activity. The main drawback of IDS is the high number of generated alerts. We propose an approach that integrates the preferences of several security experts to rank IDS results. The experts’ preferences are expressed either in IFO-BCF (Instantiated First Order) logic or in IFO-guaranteed possibilistic one. A new logical preferences merging algorithm is given, it takes in input the different experts’ preferences and produces a unique preferences base. The resulted preferences base is used to rank the IDS alerts.


IDS alerts Preferences merging Guaranteed possibilistic logic IFO formulas 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Lydia Bouzar-Benlabiod
    • 1
    Email author
  • Lila Meziani
    • 1
  • Nacer-Eddine Rim
    • 1
  • Zakaria Mellal
    • 1
  1. 1.Laboratoire de la Communication dans les Systèmes InformatiquesEcole nationale Supérieure d’InformatiqueOued-SmarAlgeria

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