IDS Against Black-Hole Attack for MANET

نویسندگان

  • Mohammed Abdel-Azim
  • Hossam El-Din Salah
  • Menas Ebrahim Eissa
چکیده

Black-Hole and Gray-Hole attack considers two of the most affected kind of attacks on the Mobile Ad-Hoc Network (MANET). Therefore, the use of intrusion detection system (IDS) has a major importance in the MANET protection. In this paper, a proposed optimized fuzzy based intrusion detection system is presented with an automation process of producing a fuzzy system by using an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the initialization of the FIS and then optimize this initialized system by using Genetic Algorithm (GA).

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عنوان ژورنال:
  • I. J. Network Security

دوره 20  شماره 

صفحات  -

تاریخ انتشار 2018