Trust-Based Energy Efficient Protocol Over MANET Using PTORA and RRFO

The significant issue is designing an intrusion detection and prevention system to enhance Mobile Adhoc Network security while considering the detection rate, false positive Rate, energy efficiency, and delay. Most prevailing technologies have struggled to attain accurate detection rates with minimal execution time and energy consumption. This paper proposes an Energy-Efficient packet transmission to overcome this shortcoming by utilizing a Multi-Relational Associative Rule Trained Artificial Neural Network. Primarily, the dynamic trust value is computed and then hashed. After that, by using the confident-based K-Means, the distributed nodes are clustered in which the Cluster Head verified the de-hashed trust value to select relay nodes, while the packets transmitted through the clustered nodes are classified as normal or attacked. Then, the details are updated in the neighbouring table. Afterwards, the Routing is performed and grounded on the neighbouring table by employing a polytree-based temporal ordered routing algorithm, and then the packets are encrypted. Then, the prioritized packet is identified and transmitted utilizing Rayleigh distributed Red Fox Optimization. Lastly, the packet is decrypted at the receiver side. The proposed model’s experimental outcomes are compared with the conventional mechanisms, showing the proposed framework’s higher efficacy.