An Adaptive Secure and Efficient Bio-Inspired Routing Protocol for Effective Cooperation in FANETs

The advancement of automated systems and their capabilities stimulate the formation of ad hoc networks using Unmanned Aerial Vehicles (UAVs). The network composed by these UAVs is known as Flying Ad hoc Network (FANET). The provision of security in such systems is particularly challenging because of their unique characteristics, which make it difficult to enhance their defenses against continually emerging security threats. The purpose of this paper is to create a new secure and reliable security framework by proposing an adaptive secure and efficient bio-inspired routing model based on the Artificial Immune System approach (AIS), as well as applying the meta-heuristic Penguins Search Optimization Algorithm (PeSOA) in order to improve its performance. Actually, an experimental study was carried out to evaluate the efficiency of the proposed idea regarding network interaction quality, malicious node mitigation, and system security enhancements.