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IRAF: Intensified Reputed ARAN Using Fuzzy Logic

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  • R Sudha
  • D Sivakumar

Abstract

Mobile ad hoc network—an instantaneous, easily deployable and infrastructureless network— paves way for many applications in this ever widening communication world. The important aspect lies in securing Mobile Ad Hoc Network (MANET) due to its decentralized architecture, dynamic topology and the mobility of the nodes. Many secure routing protocols have been evolving continuously all these years, but a perfect security protocol has not been achieved. Authenticated Routing for Ad Hoc Networks (ARAN), an efficient secure routing protocol, satisfies major security parameters such as message integrity, authentication, confidentiality and non- repudiation, but fails to differentiate the legitimate nodes from the malicious nodes and selfish nodes. Reputed ARAN (RARAN) was later proposed to perceive the selfish nodes and the protocol was efficient. This work focuses on detecting the selfish node with greater accuracy. In ARAN, the probability of detection of selfish nodes was less accurate. The protocol, which we have proposed, IRAF, Intensified Reputed ARAN using fuzzy logic, aims at achieving greater accuracy in detecting selfish nodes by integrating the fuzzy logic with the existing secure ARAN. It also increases the efficiency of MANET. The overhead experienced in ARAN is also reduced by this protocol.

Suggested Citation

  • R Sudha & D Sivakumar, 2012. "IRAF: Intensified Reputed ARAN Using Fuzzy Logic," The IUP Journal of Computer Sciences, IUP Publications, vol. 0(3), pages 24-34, July.
    • Handle: RePEc:icf:icfjcs:v:6:y:2012:i:3:p:24-34
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