Fog Based IoT-enabled system security forElectrical Vehicles in the Smart Grids
Sanjay Kumar Sonker, Bharat Bhushan Sagar, Ramesh C. Bansal Ramesh C · Research Square · 2023
Abstract Wireless sensor networks (WSN) have dependability, integrity, and confidentiality issues because of their extensive use. An efficient defensive line for WSN is provided by intrusion detection, a crucial active defence technology. Given the uniqueness of WSN, it is necessary to strike a balance between precise data transmission and constrained sensor energy, as well as between the detecting effect and a lack of network resources. In this study, we suggested a fog computing-based intrusion detection system (IDS) for a smart power grid. This article's main objective is to explain how to use IDS in a smart grid setting. We introduce a stacked model based on the ensemble learning algorithm, which can accurately portray the connections among fog nodes that are vulnerable to cyber-attacks. We conclude by conducting a series of comparative experiments using the KDD CUP 99 dataset with cross-validation, and determine that the Fog-IDS and Stacking-based approaches are more effective in enhancing the performance of the IDS. By conducting simulations, we confirm that our approach effectively analysis fog nodes using the deployed IDS can predict the energy requirement refill station. With an accuracy rate of over 99.837%, MCC rate 99.73%, and F1-Score rate 99.827%.