Optimized Secure Protocol for MANET through Biometric Approach

This research work undertaken comprehends an impending accost of developing a secure protocol to sustain optimization and trust in MANET through crypt-biometric approach inculcating meta-heuristic algorithm. Meta-heuristics based genetic algorithm not only will help in maintaining Quality of Service(QOS) by selecting a fittest i.e. shortest route but also tends to overcome the security and privacy concerns that exist in biometric technology. Intelligent optimization approaches or meta heuristic algorithms like, genetic algorithm(GA), neural networks(NN) based on artificial intelligence(AI), particle swarm optimization(PSO) technique and simulated annealing(SA) in the recent years have well consigned QOS and privacy issues. Biometric authentication using fingerprint, facial, iris scan, voice recognition etc. have gain a lot of importance in recent years to provide security in MANET. Biometrics are more advantageous and secure as compared to prevailing data security techniques like password or token mechanisms. The foremost requirement of our protocol is to overcome various data attacks such as wormhole, cache poisoning, invisible node attack unauthorized data modification impersonation etc. that are caused by malicious node in MANET. This problem is tackled by crypt-biometric and trust application inculcated by meta-heuristic algorithm in our proposed approach which helps in securing ad-hoc networks.