Increasingly, the proliferation of autonomous vehicles (AVs) presents significant demand for driving data security in transportation systems. The proposed paper aims to address current trends in AV data security, investigating data protection approaches adopted by manufacturers, including cybersecurity and threats mitigating strategies. The comparative analysis will be conducted based on industry leaders, including Tesla and Waymo. Three aspects will be central within the research framework: the comparison of threat architectures for each manufacturer, similarities and differences between data security approaches, and exploration of the legal provisions and regulatory aspects governing AV data protection in current condition. The critical analysis of the existing data protection differences and related evidence will enable to reveal the interdependencies between the driving data mechanisms of current manufacturers, vulnerabilities, and the prospects of the existing data protection legal provisions. It is expected that significant trafficking data will reveal core differences between manufacturers as well as gaps in data protection measures and related standards. Data analysis can support global approaches to AV driving data security and protection measures.
Autonomous Vehicles; Data Security; Cybersecurity; Privacy; Legal Regulations; Tesla; Waymo; Automotive Technology; Comparative Analysis
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