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Misuse intrusion detection using a fuzzy-metaheuristic approach

Mohamadi, H ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/AMS.2008.128
  3. Publisher: 2008
  4. Abstract:
  5. In this paper, we use simulated annealing heuristics for constructing an intrusion detection system (IDS). The proposed IDS combines the learning ability of simulated annealing heuristics with the approximate reasoning method of fuzzy systems. The use of simulated annealing is an effort to effectively explore the large search space related to intrusion detection problems, and find the optimum set of fuzzy if-then rules. The aim of this paper is to present the capability of simulated annealing based fuzzy system to deal with intrusion detection classification problem as a new real-world application area. Experiments were performed with KDD-Cup99 intrusion detection benchmark data set. © 2008 IEEE
  6. Keywords:
  7. Alpha particle spectrometers ; Annealing ; Asset management ; Benchmarking ; Computer crime ; Fuzzy logic ; Fuzzy systems ; Heuristic methods ; Intrusion detection ; Particle spectrometers ; Security of data ; Sensors ; Approximate reasoning ; Benchmark data ; Detection problems ; Fuzzy if-then rules ; International conferences ; Intrusion-detection system ; Learning abilities ; Metaheuristic approaches ; Modelling and simulation ; Real-world applications ; Search spaces ; Simulated annealing
  8. Source: 2nd Asia International Conference on Modelling and Simulation, AMS 2008, Kuala Lumpur, 13 May 2008 through 15 May 2008 ; 2008 , Pages 439-444 ; 9780769531366 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4530516