Abstract
Due to the dynamic nature of network topology, routing has been recently identified as the most serious challenge in MANET. For effective routing in MANET, route discovery and optimal route selection are the two significant considerations. The main objective of this research is to determine the optimal route for packet transmission in MANET. In this study, the test score analyzes both trusted and untrusted nodes from the source initially. Based on the trusted nodes, we proposed an Adaptive Trust-based Secure and Optimal Route Selection using Hybrid Fuzzy Optimization (ATSORS-HFO) model. At first, the optimal routes are selected with the help of the Fuzzy Butterfly Optimization Algorithm (FBOA) and an Advanced Encryption Standard based on an Adaptive Chaotic Grey Wolf Optimization (ACGWO) algorithm provides secure communication. The resulting K-paths are ideally selected using the trust-based ACGWO algorithm. The key of the nodes and shared code is validated using the AES- ACGWO algorithm for each data transfer instance, showing a safe connection. To demonstrate system efficacy, the proposed model is compared to existing techniques and assessed using various evaluation metrics such as throughput, latency, packet loss ratio, packet delivery ratio, and detection rate.