Advanced Honeypot for Network Quantification Data Network

The most crucial task in a wireless sensor network (WSN) is grouping. During grouping, one hub is selected from a group of hubs to act as the bunch leader, which is responsible for both routine chores and the administration of other hubs within the bunch. Similar to this, noxious hub detection in a remote sensor network (RSN) is a crucial duty since the malicious hub can never become the group leader. Additionally, the chance of becoming a harmful hub as a bunch leader increases as the number of malevolent hubs increases. In this paper a particle swarm optimization (PSO)- based method for hazardous hub detection and bunch head determination is proposed to find a high-expectation hub for the group leader while simultaneously detecting a cancerous hub. A high-potential hub is then chosen as the bunch head after the suggested algorithm calculates the potential worth of each hub. Similar to how deleting malignant hubs directly prevents malicious hubs from becoming bunch heads within the overall improvement in energy proficiency, this strategy also minimises bunch covering with group head spatial allocation.