A Secure Machine Learning-Based Optimal Routing in Ad Hoc Networks for Classifying and Predicting Vulnerabilities

Abstract

In both the military and the civilian sectors, next-generation wireless networks can be employed for a wide range of intricate and adaptive applications. It is possible that information won’t be delivered right away. Ad hoc network topologies and wireless services need special wireless technologies for adaptive learning and intelligent decision making to complete this challenging task. Measurements of traffic, latency, mobility, and other mobile network factors assist interactive decision making. The optimal routing using deep learning approach also has a lot of benefits.