Chaotic African Buffalo Optimization Based Efficient Key Mechanism in Categorized Sensor Networks
Dr.J.R.Arunkumar, Assistant professor in faculty of Computing and Software Engineering, Institute of Technology, Arbaminch University, Ethiopia
Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1232-1238 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5351029320 /2020©BEIESP | DOI: 10.35940/ijeat.C5351.029320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In recent days, Wireless Sensor Network (WSN) can be used to monitor the circumstances of various movable objects and several processes such as friendly forces monitoring, biological attack detection, fire detection and so on its applications are extended. To make all these applications reliable and secure, it is necessary to use cryptographic processes. The security of the whole network is depending on the strength of a generated key, the algorithm decides the size of the key handling and processing. In this research, a secure efficient key management scheme is proposed with the help of Chaotic African Buffalo Optimization (CABO) for wireless sensor networks. The evaluation of this method is made with the objective to improve the security strength and reduce the cost of resource. The traditional methods called genetic algorithm and an evolutionary algorithm named as Particle Swarm Optimization (PSO) is compared to verify the proposed scheme.
Keywords: Key Generation, Particle Swarm Optimization, Chaotic African Buffalo Optimization, Genetic algorithm.