Security model for automotive communication networks
Modern vehicles have sophisticated internal networks, with dozens of electronic modules communicating with each other. However, the probability of remote access to intravehicle networks by hackers is high, creating a serious risk to the integrity of passengers and vehicles. Many studies are presented in the literature on the vulnerability of vehicular computer systems, but the existing security models do not yet have a sufficiently high level of security. This investigation proposes a new security model for CAN FD networks especially automotive using data encryption and authentication techniques. This encryption technique uses a private symmetric key system of the Rijndael type (AES 256) which is applied in the data field (data frame) and allows the transmission of secure messages. The measurement of the times in simulation showed that the proposed new model presented the shortest processing time and authentication guarantee. The processing time of the decryption per frame achieved was less than the results obtained found in the literature. The results show that the proposed new security model has a superior encryption performance than existing methods. In addition, this research intends to develop a security architecture that will encompass unprotected (CAN and CAN FD) and protected networks (CAN FD - model proposed in this thesis, CAN XL and Automotive Ethernet).