Security Cooperation in the Protection Concerns of Agriculture Data Using Efficient Signatures and Artificial Bee Colony Manner
Mishall Al-Zubaidie, Duaa Hammoud Tahayur · Advances in computational intelligence and robotics book series · 2025
This chapter first suggests a security mechanism to prohibit block data tampering in internet of things (IoT) by combining consortium blockchain blocks with Edwards25519 (Ed25519) signatures. Secondly, the study that is being suggested makes use of an artificial bee colonizer (ABC) technique to maintain the unpredictability of Ed25519 signatures while finding the best answer and maximizing a range of intricate problems. The optimizer system uses advanced deep learning (ADL) technology as a model to monitor and assess things. The authors have evaluated the solution in terms of performance overhead and security. The most damaging applications, like obfuscation, selfish mining, block blocking, block ignoring, blind blocking, and heuristic attacks, can be prevented by the suggested system, according to tests that have been done on it. The system defends against these attacks by using the test of Scyther. It also monitors performance metrics, such as network throughput rate, entropy, and scalability, which indicate how well the suggested system performs in comparison to other security systems.