ABSTRACT
Due to significant improvements in wireless communication, Mobile Ad Hoc Networks
(MANET) have been utilized in different fields, such as power conservation, and the
Internet of Things (IoT), etc.The present routing protocols employed in MANETs are
limited by the concomitant issues. The network’s design challenges include limiting
energy consumption and ensuring node security. This article presents the Hybrid
Secured Routing Protocol (HSRP), which utilizes a Genetic Algorithm (GA) and an
optimization approach to choose the most effective route in a multipath scenario. The
research focused on selecting the most optimal route to reach the destination. The
path with the most significant fitness score is considered optimalusing density maxima
and selected Cluster Heads (CHs) according to recent, indirect, and direct trusts. CHs
select the best route using the cumulative characteristics of the ideal route, such as
throughput, delay, and routing overhead.By obtaining a 17% improved packet delivery
ratio, a 11% reduction in routing overhead with minimal attack detection time (68.6
sec) when compared to conventional procedures, the suggested HSRP model shows
notable advantages over current approaches. These developments highlight