Print Email Facebook Twitter A New Standard: Redesigning Autonomous Vehicle Communication Using Multi-Party Computation Title A New Standard: Redesigning Autonomous Vehicle Communication Using Multi-Party Computation Author Latyšov, Sever (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Applied Sciences; TU Delft Cyber Security; TU Delft Intelligent Systems) Contributor Erkin, Z. (mentor) Urbano, Julián (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-02 Abstract Around the world millions of people get injured due to traffic accidents. Autonomous vehicles are expected to significantly reduce these numbers. To increase safety, autonomous vehicle communication can be used. Current vehicle communication networks called VANETs have security and privacy protection problems and the vehicle industry is reluctant to use them. Multi-Party Computation (MPC) is a cryptographic technique which allows a set of parties to compute the output of a function while not revealing the input. This paper investigates the potential and feasibility of multi-party computation to solve the present problems of autonomous vehicle communication. Two architectures are proposed and discussed on the basis of a literature study and interviews with experts in MPC and autonomous vehicle communication. The solutions seem to be feasible, but further experimentation is required to confirm this. The main obstacle for the implementation of MPC in autonomous vehicle communication is that at the moment, the autonomous vehicle industry is not concerned with improving autonomous vehicle communication. Subject MPCMulti-Party ComputationAutonomous vehiclesVANETsecurityprivacy To reference this document use: http://resolver.tudelft.nl/uuid:3895f620-221b-413a-9865-6e0cf01a51c9 Part of collection Student theses Document type bachelor thesis Rights © 2021 Sever Latyšov Files PDF Final_Version_Thesis_Seve ... t_form.pdf 385.52 KB Close viewer /islandora/object/uuid:3895f620-221b-413a-9865-6e0cf01a51c9/datastream/OBJ/view