An Enhanced and Secure Trust-Aware Improved GSO for Encrypted Data Sharing in the Internet of Things

Wireless sensors and actuator networks (WSNs) are the physical layer implementation used for many smart applications in this decade form of Internet Things (IoT) cyber-physical systems (CPS). Even though research concerns WSNs have been answered, evolution WSN into an IoT network has exposed it to new technical issues, including data security, multi-sensory multi-communication capabilities, energy utilization, age information. Cluster-based collecting potential address with freshness efficiency. However, may not offer reliable security. This presents improved method sharing cluster head (CH) selection using hybrid Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) conjunction glowworm swarm optimization (GSO) strategies based on energy, trust value, bandwidth, memory security-enabled, cluster-based aggregation IoT. Next, we aggregate after built a genetic algorithm (GA). After aggregation, encrypted delivered securely TIGSO-EDS architecture. Cuckoo search is analyze choose best route sending them. The proposed model’s analysis results analyzed, its uniqueness demonstrated via comparison existing models. reduces consumption each round by 12.71–19.96% increases percentage successfully packets from 2.50% 5.66%.