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Cyber-Security Internals of a Skoda Octavia vRS: A Hands on Approach
The convergence of information technology and vehicular technologies are...
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Cyber Security Challenges and Solutions for V2X Communications: A Survey
In recent years, vehicles became able to establish connections with othe...
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Security and Privacy Issues for Connected Vehicles
Modern vehicles contain more than a hundred Electronic Control Units (EC...
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A Blockchain-Based Architecture for Traffic Signal Control Systems
Ever-growing incorporation of connected vehicle (CV) technologies into i...
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Threats and Countermeasures of Cyber Security in Direct and Remote Vehicle Communication Systems
Traffic management, road safety, and environmental impact are important ...
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Cyberattacks and Countermeasures For In-Vehicle Networks
As connectivity between and within vehicles increases, so does concern a...
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On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control
With the benefits of Internet of Vehicles (IoV) paradigm, come along unp...
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An Overview of Attacks and Defences on Intelligent Connected Vehicles
Cyber security is one of the most significant challenges in connected vehicular systems and connected vehicles are prone to different cybersecurity attacks that endanger passengers' safety. Cyber security in intelligent connected vehicles is composed of in-vehicle security and security of inter-vehicle communications. Security of Electronic Control Units (ECUs) and the Control Area Network (CAN) bus are the most significant parts of in-vehicle security. Besides, with the development of 4G LTE and 5G remote communication technologies for vehicle-toeverything (V2X) communications, the security of inter-vehicle communications is another potential problem. After giving a short introduction to the architecture of next-generation vehicles including driverless and intelligent vehicles, this review paper identifies a few major security attacks on the intelligent connected vehicles. Based on these attacks, we provide a comprehensive survey of available defences against these attacks and classify them into four categories, i.e. cryptography, network security, software vulnerability detection, and malware detection. We also explore the future directions for preventing attacks on intelligent vehicle systems.
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