Cybersecurity and Data Trustworthiness in Connected and Automated Vehicles
Wednesday, August 05, 2020 at 12:00pm to 12:45pm
Virtual EventAbstract :
The large amount of data generated by sensor-rich vehicles is not only useful for their control and planning but can also be shared to support traffic control and emergency responses as vehicles are connected to infrastructure units in future transportation systems. However, security issues arise if these data are inaccurate due to sensor vulnerabilities in extreme environment conditions or intentionally spoofed by adversaries. In this talk, I will first review security issues regarding data trustworthiness in connected and automated vehicles. A case study on the trust evaluation of the data sent through Vehicles-to-Infrastructure (V2I) channels will then be presented. In particular, I will introduce a novel security V2I protocol-Proof-of-Travel-that verifies the authenticity and correctness of vehicle-reported events and is built upon the physical law of vehicle movement and cryptography mechanisms.
Bio:
Dajiang Suo is a PhD candidate at Prof. Sanjay Sarma’s Auto-ID lab and conducts research in the cybersecurity of connected and automated vehicles. He holds a B.S. degree in mechatronics engineering, and a S.M. degree in Computer Science. Before returning to school to pursue PhD degree, Suo was with the vehicle control and autonomous driving team at Ford Motor Company (Dearborn, MI), working on sensing technologies and the safety of autonomous vehicles. His research interests include non-invasive sensing, contextual-based authentication, and consensus algorithms for establishing trust on IoT devices.
ZOOM Link:
https://mit.zoom.us/j/92703463004
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