A Testbed for Quantitative Assessment of Intrusion Detection Systems using Fuzzy Logic

  • Authors:
  • Gautam Singaraju;Lawrence Teo;Yuliang Zheng

  • Affiliations:
  • -;-;-

  • Venue:
  • IWIA '04 Proceedings of the Second IEEE International Information Assurance Workshop (IWIA'04)
  • Year:
  • 2004

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Abstract

The current Intrusion Detection System (IDS) technologyis a major investment for a firm and its evaluation is desiredprior to a commitment. A testbed compares differentIDSs on a common platform. A major challenge in evaluatingIDSs stems from the fact that they are generally testedin specific environments. A real-world environment couldbe different from the environment designed for a testbed.The results obtained, from such testbeds, may not be accurateand reliable. Hence, a quantitative and metrics basedevaluation of IDSs is desired.We propose Testbed for evaluating Intrusion DetectionSystems (TIDeS), that allows a user to select the best IDSfor a specific customized environment. A quantitative analysisis provided by TIDeS, using fuzzy logic, under varyingnetwork loads. We also propose robust metrics to evaluatean IDS. We follow up with recommendations, based on ourexperience, on the general practices in the field of IDSs.