Enhancement of Network Security in MANETs Using Improved Averaging Self-Optimization Algorithm (IASOA) for IoT Applications
P. Satyanarayana, G. V. S. Padma Rao, Sridevi Dasam, M. R. Arun, Dingari Kalpana, V. Gokula Krishnan · 2023
Mobile Ad Hoc Networks (MANETs) play a pivotal role in facilitating communication for Internet of Things (IoT) applications, where devices dynamically form temporary networks without a fixed infrastructure. However, the inherent characteristics of MANETs, such as dynamic topology and resource constraints, pose significant challenges to ensuring robust network security. This paper presents an innovative approach to fortify the security of MANETs in the context of IoT applications by introducing the Improved Averaging Self-Optimization Algorithm (IASOA). IASOA leverages a self-optimization mechanism that dynamically adapts to the changing network conditions, enhancing the resilience of the MANET against security threats. The algorithm employs an improved averaging technique to optimize key network parameters, such as routing paths and energy consumption, while simultaneously strengthening security measures. By integrating intelligent self-optimization with enhanced security protocols, IASOA aims to mitigate vulnerabilities associated with MANETs, offering a more secure and reliable communication framework for IoT devices. The results indicate varying levels of effectiveness, with SA-SFO achieving the highest vulnerable to attacks i.e 0.26 (26%), followed by CHHSO at 0.22(22%) MA-ASFO at 0.19(19%), and IASOA at 0.13(13%). These numerical outcomes suggest that IASOA exhibits the highest security among the evaluated algorithms, demonstrating its superior performance in the given context.