'Predicting Cyber Security Vulnerabilities of Connected and Autonomous Vehicles using Machine Learning Algorithms', Arash Kia
The 2020 Spring Series of Research Seminars at the Kemmy Business School continues with a presentation next week by one of our Marie Curie Scholars, Arash Kia. The seminar takes place 1-2pm on Tuesday 3rd March in KB1-16 and title of the seminar is:
Predicting Cyber Security Vulnerabilities of Connected and Autonomous Vehicles using Machine Learning Algorithms
The direction of vehicle industry shows that the future belongs to automated and connected vehicles. The future of this technology depends on its acceptance by the market and the market tries to avoid risk as much as possible. The difference between smart vehicles and traditional cars is that they are autonomous and connected. Therefore, the new risks we face are cyber security risks and software algorithm errors. Given the low volume of data associated with smart cars as a brand new technology, we need ways to better understand the future having low volume datasets at hand. Semi-supervised methods of machine learning will help us to do so. In this seminar, we plan to build a network-based model by examining the security vulnerabilities of various computer systems around the world, compiled by the US Department of Defence. We then use this model with a graph-based semi-supervised approach to predict their probability of happening in the future of the automotive industry.
The KBS Spring Series of Research Seminars runs on Tuesdays at lunchtime this semester, and highlights emerging work by faculty and PhD students at the KBS. Tea/coffee and sandwiches will be provided and all are warmly welcome.