Sustaining Security In MANET: Biometric Stationed Authentication Protocol (BSAP) Inculcating Meta-Heuristic Genetic Algorithm
Author(s) -
Sherin Zafar,
Mukesh Soni
Publication year - 2014
Publication title -
international journal of modern education and computer science
Language(s) - English
Resource type - Journals
eISSN - 2075-017X
pISSN - 2075-0161
DOI - 10.5815/ijmecs.2014.09.05
Subject(s) - computer science , biometrics , password , authentication (law) , genetic algorithm , security token , md5 , heuristic , protocol (science) , computer security , authentication protocol , fingerprint (computing) , algorithm , computer network , artificial intelligence , hash function , machine learning , medicine , alternative medicine , pathology
The paper comprehends an impending accost of intensifying biometric stationed authentication protocol(BSAP) bestowing meta-heuristic genetic algorithm for securing MANET. 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. A higher level of security is achieved in our impending approach using genetic algorithm to overcome the security and privacy concerns that exist in biometric technology. The foremost requirement of our protocol is to overcome various data attacks such as wormhole, cache poisoning, invisible node attack etc. that are confronted by MANET and make the network more secure.
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