Intelligent and Connected Vehicles (ICVs) are moving into the
mainstream of the worldwide automotive industry. A lot of advanced
technologies, like artificial intelligence, big data, millimeter
wave radar, LiDAR and high-definition camera based real-time
environmental perception, etc., are increasingly being applied in
ICVs, making them more intelligent and connected with devices
surrounding the vehicles. However, although the versatile
connection and information exchange among ICVs, external devices
and human beings provides vehicles with a better and faster
perception of surrounding environments and a better driving
experience for users, they also create a series of intrusion
portals for malicious attackers which threaten the safety of
drivers and passengers. This book is concerned with the recognition
and protection against such threats. Security for ICVs includes
information across the fields of automobile engineering, artificial
intelligence, computer, microelectronics, automatic control,
communication technology, big data, edge/cloud computing and
others. This book comprehensively and systematically introduces
security threats to ICVs coming from automotive technology
development, on-board sensors, vehicle networking, automobile
communications, intelligent transportation, big data, cloud
computing, etc. Then, through discussion of some typical automobile
cyber-attack cases studies, readers will gain a deeper
understanding of the working principle of ICVs, so that they can
test vehicles more objectively and scientifically. In this way they
will find the existence of vulnerabilities and security risks and
take the corresponding protective measures to prevent malicious
attacks. Technical topics discussed in the book include but are not
limited to: Electronic Control Unit and Vehicular Bus Security;
Intra-vehicle Communication Security; V2X Communication Security;
VANET Security; Unmanned Driving Security and Navigation Deception
General
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