Chaotic African Buffalo Optimization Based Efficient Key Mechanism in Categorized Sensor Networks

  • Arunkumar J
N/ACitations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

Arunkumar, J. R. (2020). Chaotic African Buffalo Optimization Based Efficient Key Mechanism in Categorized Sensor Networks. International Journal of Engineering and Advanced Technology, 9(3), 1232–1238. https://doi.org/10.35940/ijeat.c5351.029320

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free