The study provides an asset taxonomy that covers the functions of a smart car to identify associated risks and threats. The functions of smart cars have a direct impact on the safety of passengers. Therefore, the security of smart cars is of prime importance.

ids cyber security , range of these technologies, components, and functions covers sensors as well as computational, communication, functional auto parts of the vehicle. This aggregation is exceptionally sophisticated when it comes to interoperability.

By leveraging all these technologies for automation and connectivity, the smart car’s ecosystem opens up a new landscape for even more severe cyber threats. The target of these cyberattacks can be any part of the ecosystem from a smart car to the backend remote server. Therefore, it comes as no surprise that the study includes a threat taxonomy that identifies threats to smart cars, including in-vehicle cyber threats, eavesdropping, legal, physical attacks, failures, outages, abuse, and unintentional damages.

Further, the report provides an association between the threats and the assets affected under these threats. The attack scenarios provided in the report are explained and analyzed based on their impact, ease of detection, cascade effect risk, assets affected, stakeholders involved, attack steps, recovery time, gaps and challenges with respective countermeasures. These attack scenarios show the severity of the impact the attack has on smart cars. Furthermore, the report details three types of attack scenarios encompassing various use-cases from connected cars to automation levels 4 & 5.

The most crucial piece of this study is the mapping of security measures. This segment of the study identifies the security domain, security measure or good practices, threat groups, and references.

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