A Secure Adaptive Bacterial Foraging Optimization Routing Algorithm for Mobile Ad Hoc Networks

Abstract

Self-organizing, rapidly deployable wireless networks known as mobile ad hoc networks
(MANET) are ideal for outdoor events, connectivity in areas without radio infrastructures,
disasters, and military operations. Because of the adaptability and dynamic nature of network
topologies, security may be the area of the network that is most susceptible to assaults, such as
eavesdropping, routing, and application modifications. The quality of service is worse than the
security issues in MANET (QoS). Therefore, it is advised to utilize intrusion detection, which
controls the system to identify further security issues. To avoid invasions and provide extra
security against unauthorized access, monitoring is essential. The ability of a mobile node to
forward packets, which is dependent on the system's overall life, may be impacted by the loss
of the node's power supply. In this study, a trust-based protected, and energy-efficient
navigation method for MANETs is presented that uses the adaptive bacterial foraging
optimization (ABFO), which identifies the best hops in advancing the routing. The Cluster
Heads (CHs) are chosen based on the value of each CH's indirect, direct, and recent trust once
the fuzzy clustering method has been triggered. Value nodes were also located depending on
trust levels. The projected protocol, which chooses the best routes based on time, capacity, and
connectivity within the course's borders, is used by the CHs when they participate in multi-hop
routing. The proposed secure optimization routing (AFBO) algorithm produced minimum
energy of 0.10 m joules, a minimal latency of 0.0062 m sec, a maximum throughput of 0.69
bps, and an 85 % detection accuracy compared to the conventional method EA-DRP & EEOHRA,
with improved data achieved by using a specific packet error attack.