Published Paper Details:

As Unmanned Aerial Vehicle (UAV) technology advances, UAVs are becoming more and more common in both military and civilian applications. The term flying ad hoc networks (FANET) is frequently used to describe multi-UAV networks. UAV clustering is a crucial path for UAV network applications since it may enhance network scalability, minimize energy consumption, and maximize network lifetime when multiple UAVs are divided into clusters for management. Additionally, the special features of these systems make it difficult to improve their defences against constantly changing security threats, making security provision in these systems especially complex. We introduced Secure and Hybrid Bio Inspired Optimization (SHBIO) for FANETs, an innovative, effective, and hybrid bioinspired algorithm, in this suggested framework. This research proposes an adaptable, secure, and efficient bio-inspired routing model with the goal of developing a new, trustworthy security framework. For this, it suggests Ant Colony Optimization (ACO), one of the most popular methods for trusted route computing. safe route selection using the ACO method. Among the interrelated parts and layers that comprise the architecture is the Trust Management System, which assesses each drone's reliability based on a variety of trust factors