CANTool An In-Vehicle Network Data Analyzer

Abstract

In recent years, IoT devices have drawn attention to big data, complicating connectivity, and daily data processing. The automotive sector is no exception. The right way of vehicle data analysis is becoming essential every day for detecting internal errors, protecting against attackers, and connected vehicle concepts such as V2X. Some researchers use raw data to secure CAN, but that's not enough. On the other hand, deep learning is essential to secure autonomous driving and CAN, and data labeling is an obstacle. So, data analysis played an important role in data labeling. There are major flaws in data analysis, feature extraction, and data labeling for in-vehicle networks. Therefore, we proposed a CAN message analysis tool concept that can provide deep label analysis results and new features. There are many data analysis techniques these days, and we are trying to include suitable CAN message analysis techniques in our tool concept.