An approach for optimal-secure multi-path routing and intrusion detection in MANET

Mobile ad-hoc network (MANET) is dynamic in nature that is susceptible to energy and security constraints. Among most of the existing techniques, energy optimization was a hectic challenge, which is addressed effectively using the routing protocols. Accordingly, this paper proposes an effective multipath routing protocol in MANET based on an optimization algorithm. The energy and the security crisis in the MANET are addressed effectively using the cluster head (CH) selection and intrusion detection strategies namely, fuzzy clustering and fuzzy Naive Bayes (fuzzy NB). Then, the multipath routing progresses using the secure nodes based on the routing protocol, Bird swarm-whale optimization algorithm (BSWOA), which is the integration of bird swarm optimization (BSA) in whale optimization algorithm (WOA). The selection of the optimal routes is based on fitness factors, such as connectivity, energy, trust, and throughput. The analysis of the methods is done using the attacks, such as flooding, blackhole, and selective packet drop based on the performance metrics. The proposed BSWOA acquired the maximal energy, throughput, detection rate, and a minimal delay of 9.48 Joule, 0.676 bps, 69.9%, and 0.00372 ms in the presence of the attack.