Abstract
Connected and autonomous vehicle industry is fostering advancements in technologies such as artificial intelligence, machine learning, Internet of Things and Big data applications. Connected and autonomous vehicles rely on a variety of electronics, sensors and computer systems. They require strong cyber security mitigations to ensure that these systems work reliable and to reduce security risks. While the possibilities for integrating devices and vehicles seem endless, new threats and dangers arise every day. Due to their connectivity, there are also security risks to the networks they are connected to, such as road network sensors, electrical infrastructure or vehicle control features and so on. Systems should be created in order to reduce all the possible threats and vulnerabilities. In the study, we will analyse the various cyber security vulnerabilities and threats which are possible in autonomous vehicles by constructing graph from observing harm propagation of the cyber threats and propose a mitigation model for the same.
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Sharmila, V.C., Aslam, H.M., Riswan, M.M. (2022). Analysing and Identifying Harm Propagation of Cyber Threats in Autonomous Vehicles and Mitigation Through ANN. In: Zhang, YD., Senjyu, T., So-In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. Lecture Notes in Networks and Systems, vol 286. Springer, Singapore. https://doi.org/10.1007/978-981-16-4016-2_38
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DOI: https://doi.org/10.1007/978-981-16-4016-2_38
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