Fog assisted task allocation and secure deduplication using 2FBO~2 and MoWo in cluster-based industrial IoT (IIoT)

摘要

Fog-assisted Internet-of-Things have dynamically received interest in the research community. There are more duplicate data transmitted over the Internet due to the rise in IoT devices. In this paper, task allocation and secure deduplication are implemented over four layers of Fog assisted Cluster-based Industrial IoT. IoT device layer used to sense data and mitigate security threats. Devices presented in this layer are registered to the cloud server using Elliptic Curve Cryptography based Hybrid Multiplier. Multi-Objective based Whale Optimization algorithm is accessible for cluster section. SHA-3 is presented in the fog layer for secure data deduplication. ECC HM private key is used for data encryption before transmitted the data. In cloud, layer indexing is constructed using Merkle Hash Tree. This is endeavored to provide query search results for IoT users at the service layer. The simulation results prove enhancement in average latency, user satisfaction, network lifetime, energy consumption, and security strength.