Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs

Abstract

The mobile devices usage has been widespread, which directly impacts the increase of mobile communication, the increased usage of Mobile Ad-hoc networks(MANETs) has brought a rapid growth in the technology development. MANETs can be deployed in any environment conveniently as it comes under the category of ad-hoc networks which is infrastructureless. Due to flexibility of deployment features, it is compatible with other networks like PAN, LAN, etc.,. MANET is applicable in many applications like rescue of emergency disasters, military operations and other special environments where wired system may not support and of urgency. Since, MANETs are having the property of infrastructureless, nature of topology of network being dynamic, and lack of authority certification leads to certain problems with regard to security from attackers. In MANETs high attention should also be given to security parameter along with other parameters for efficient routing. With the aim of facing the possibility of malicious node attacks, the proposed paper presents the technique of detecting the malicious nodes attacks caused form two major attacks like blackhole and wormhole attacks are detected and prevented by Cooperative Bait Detection Scheme (CBDS). Once those attacks are prevented, the routing efficiency in MANETs for Chicken Swam Optimization based A* algorithm is improved, which is a computer algorithm that is broadly deployed in path finding and graph traversal. The comparative examination of Optimized A*, Ad-hoc On-Demand Distance Vector (AODV) with the proposed model against attacks, enhances the performance.

Node authentication and encrypted data transmission in mobile ad hoc network using the swarm intelligence‐based secure ad‐hoc on‐demand distance vector algorithm

“…End-to-end delay is the difference between the packet received time and the sent time. It is calculated by using formula (27).…”

MOpt Shield: An Intrusion Detection System based on Meld Optimization Algorithm to mitigate Amalgam Attacks

“…The other Cuckoo search and M-tree-based approach were proposed by Babu and Ussenaiah (14) to enhance the Adhoc network's performance. The other heuristic and metaheuristic approaches based on an optimization algorithm were developed by several researchers (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28) that optimize the network's performance and provide a secure communication environment.…”