Likelihood based Node Fitness Evaluation Method for Data Authentication in MANET

Abstract

Mobile nodes in ad hoc network are easily compromised by attackers. Due to the presence of attackers, the network may be overloaded which leads to least security. In this research work, Likelihood based Node Fitness Evaluation Method (LNFEM) is introduced and developed based on trust model. The trust model consists of three phases. In first phase,  trust model is defined based on trust generation and computation. Node recommendation is used to produce the trust vector. In second phase, the clustered secure routing is adopted to provide seamless connectivity in the presence of attackers. In third phase, direct evaluation system is used to inter relate the direct and indirect observation. The proposed method is evaluated using network simulation tool (NS2.3). The performance metrics are throughput, data authentication ratio, data confidentiality rate, control overhead and propagation delay. From the simulation results, the proposed method achieves better performance compared to the existing methods.