ERAF – Extensive Reputed ARAN using Fuzzy Logic

Abstract

Mobile ad hoc networks, an instantaneous, easily deployable, infrastructure less 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 has been evolving continuously in all these years but, still 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 failed to differentiate the legitimate nodes from malicious nodes and selfish nodes. Reputed ARAN (RARAN) was latter proposed to perceive the selfish nodes and the protocol was efficient. This work ERAF focuses on detecting the selfish node with greater accuracy. In RARAN, the probability of detection of selfish nodes was less accurate. The protocol, which I have proposed - ERAF – Extensive Reputed ARAN using fuzzy logic, aims in achieving greater accuracy for detecting selfish nodes by integrating the fuzzy logic with the existing secure RARAN. The work aims at measuring the battery power gradually from minimum threshold to maximum threshold, a critical region of packet drop by selfish nodes. It also increases the efficiency of MANET. The overhead experienced in RARAN also is reduced by this protocol. Moreover decreasing signal strength contributes to dropping of packets which cannot be differentiated from selfish nodes. Using fuzzy logic the signal strength can be accurately predicted and when it falls below the threshold level, alternate route is chosen. Based on the two major parameters considered in this work, battery power and signal strength selfish nodes are detected accurately using the fuzzy logic at the earliest and isolated from the network.