SECURED DATA TRANSMISSION USING PARETO OPTIMIZATION BASED LION SWARM OPTIMIZATION AND DOUBLE ENCRYPTION BASED BLOWFISH ALGORITHM IN WSN

Abstract

The protection of wireless sensor networks is a complex challenge due to the inherent characteristics of the sensors themselves. These sensors are characterized by their low memory capacity, constrained energy resources, and lack of early awareness regarding their specific placement within the distribution environment. In order to safeguard the integrity and confidentiality of data during transmission, it is imperative to uphold fundamental security measures. This duty elucidates many methodologies for safeguarding data transmission. The primary objective of this research endeavor is to ensure the security of the Wireless Sensor Network (WSN). Several studies and approaches have been proposed; nonetheless, the comprehensive understanding of time and safety remains largely unexplored. The current methodologies exhibit limitations in terms of temporal efficiency and the security of Wireless Sensor Networks (WSNs). In order to address the aforementioned concerns, this research study proposes the utilization of the Pareto Optimization Based Lion Swarm Optimization and Double Encryption based Blowfish method (PLSO-DEBF) method as a means to enhance overall system performance. The primary contributions of this study encompass the development of a comprehensive system model, the utilization of PLSO-DEBF for the selection of transmission nodes, and the incorporation of secure data transmission inside the system model. By leveraging the efficient algorithms of Wireless Sensor Networks (WSNs), this approach demonstrates enhanced performance.