Implementation of Change Point Detection Algorithm in the Analysis of Security Attacks in Smart Cars

Abstract

In this study, the results of applying the Change Point Detection algorithm in the analysis of security attacks on intelligent vehicles are examined. Two data sets were synthetically created to simulate security attacks. In these data sets, the results of the 4 elements belonging to the intermediary are examined in a certain period. These factors can be listed as the speed value, the speed of the motor per minute, the rate of gas pedal depression, and the amount of fuel. The values of these elements in a certain period are evaluated in the CPD algorithm and it is investigated whether or not the vehicle is under attack. As a result, the attack detection rate was found to increase as the CPD algorithm moved to high attack rate data sets.