A Novel Secure Data Aggregation in IoT using Particle Swarm Optimization Algorithm

Abstract

Internet of Things (IoT) is a network paradigm in which data aggregation and data security plays a vital role. Data aggregation in IoT describes collection of information from different users and data security means encryption of collected data using cryptography method. The proposed work comprises of devices and gateway to perform data aggregation and data encryption. Data aggregation is performed using clustering in which data are clustered and secured by Particle Swarm Optimization (PSO) algorithm which finds the cluster head. After finding cluster head, nodes requests to join as cluster member. PSO computes fitness function using metrics i.e. energy, end-to-end delay, scoring factor, packet drops and successful packet transformation. After completion of clustering process, data encryption process is held in which, cluster head collects data from the cluster members and encrypts it using Elliptic Curve Cryptography (ECC) method. Finally, encrypted data are dispatched to gateway device. Experimental result shows, the proposed work on Secure Particle Swarm Optimization (SPSO)prompts better performance in following metrics i.e. delay, throughput and energy consumption.