Cybersecurity and Capacity Requirement for Data Storage of Autonomous Driving System

Abstract

Autonomous vehicles (AVs) require large dataset to perceive surrounding accurately, and continuous connectivity to update software frequently. The more connection and data the vehicle has the more cybersecurity incidents could occur. To address the challenges of AVs development, new regulations and standards have been introduced from Event Data Recorder (EDR) and Data Storage System for Automated Driving (DSSAD) to automotive cybersecurity, and these new regulations and requirements demand AVs to equip large data storage to analyze accidents of AVs. New data storage for AVs could bring new cybersecurity risks. The main purpose of this paper is to derive data storage requirements for automated driving system (ADS) and to conduct systematic cybersecurity risk analysis for data storage. In this paper, the regulations and standards for AVs are reviewed and new requirements for data storage of automated driving system are derived based on that. Plus, cybersecurity risk of the future data storage is analyzed with threat analysis and risk analysis (TARA) method. Finally, cybersecurity validation and verification methods have been researched for data storage of AVs.