Fuzzy Membership Function in a Trust Based AODV for MANET

Abstract

Security issues have been emphasized in MANET due to its vulnerability to unauthorised access and unshielded broadcasting nature of communication. In this paper we present a trust based AODV for MANET. The trust takes into account the eligible neighbours based on reliability, residual energy, and speed. Thus our algorithm provides a reliable, energy efficient routing technique. The multi-criteria trust values are calculated using fuzzy-logic. This algorithm is capable of putting aside the selfish nodes. As only trusted neighbours are selected for packet delivery, energy consumption also diminishes because the transmitting node does not need to deliver packets to the untrusted neighbours. Less number of transmissions renders low energy consumption. Absence of selfish nodes in the selected neighbours at every hop provides better packet delivery and hence better throughput.

Detection of Wormhole, Blackhole and DDOS Attack in MANET using Trust Estimation under Fuzzy Logic Methodology

“…The offered integrated approach has also a minimized the end-to-end delay and the route discovery latency Partha Sarathi Banerjee et.al. [11] have proposed trust based AODV routing protocol that works with three fuzzy logic based membership functions-PI-membership function, Gaussian membership function and Triangularmembership function for trust value calculation using multi criteria to identify untrusted neighbors. Only trusted neighbors are used for packet transfers.…”

Global Trust: A Trust Model for Cloud Service Selection

“…Trust can be measured using discrete or continuous values. Metrics can be based on a simple summation or an average of ratings [22], fuzzy logic [1,7,24,25,37], flow-based models [2,6,13,14,29], probabilistic models such as Bayesian systems [31,32,34,36], or beta probability density [17,33] and subjective Logic [9,12,35].…”