Detecting Data Manipulation in Electric Vehicle Charging Stations Using Machine Learning Algorithm

A vehicle that functions purely on electricity, as opposed to normal gasoline or diesel automobiles, is known as an electric vehicle (EV). Electric vehicles are becoming extremely popular. EVs come equipped with a built-in connection that allows for features like remote control via smartphone apps, over-the-air software upgrades, and navigation. Smart charging stations are available for electric vehicles (EVs) and are capable of utilizing energy consumption and cost data to improve charging times through communication with the car. However, there are cyber security problems nowadays everywhere. Monthly pricing is one option for charging at electric charging stations. False Data Injection Attacks are a frequent form of attack in which hackers alter data to their benefit. We are developing a machine learning algorithm to identify the site of the deceptive data injection in order to solve this issue. Random Forest Algorithms, RBF kernel, linear kernel, polynomial kernel, and Support Vector Machine were utilized for training and assessing the outcomes.