INTR Seminar: Cybersecurity and Data Trustworthiness for Connected and Automated Vehicles

10:45am - 11:45am
Zoom ID: 978 7486 0771 Passcode: 630159


Sensing data generated by connected and automated vehicles (CAVs) are crucial for vehicle control and planning. Additionally, these data can also be shared with transportation management center to support traffic control and emergency responses in future intelligent transportation systems. However, security issues arise if these data are inaccurate and flawed due to sensor vulnerabilities in extreme environment conditions or malicious attacks on data transmission modules. In this talk, I will first review security issues regarding data trustworthiness and privacy preservation in CAV environment. The second part of this talk will introduce a novel protocol for V2I security, titled Proof of Travel (POT), which allows road infrastructure to verify the authenticity and correctness of vehicle-shared data and incentivize the data-sharing activities. In particular, the POT protocol builds upon the physical law of vehicle movement and cryptography mechanisms. A case study on V2I-reported data validation will be given to illustrate the usage of the protocol. I will conclude by discussing challenges faced by engineers in developing and implementing security solutions in real-world projects.

10:45am - 11:45am
Zoom ID: 978 7486 0771 Passcode: 630159
Event Format
Speakers / Performers:
Dr. Dajiang Suo
Department of Mechanical Engineering, Massachusetts Institute of Technology


Dajiang Suo is a postdoctoral associate at Professor Sanjay Sarma’s MIT Auto-ID lab. Suo obtained a Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology in 2020. He holds a B.S. degree in mechatronics engineering from Beijing Institute of Technology, and a S.M. degree in Computer Science from Tsinghua University. His research interests include developing interdisciplinary approaches that merge cryptography techniques and travel behavior for the security of Vehicle-to-Everything (V2X) communication. He is also interested in multi-modal sensing technologies for autonomous driving. Before returning to school to pursue his PhD degree, Suo was with the vehicle control and autonomous driving team at Ford Motor Company (Dearborn, MI), developing system engineering tools for Ford’s functional safety and cyber-security processes. He serves as a committee member and paper editor for the Standing Committee on Enterprise, Systems, and Cyber Resilience (AMR40) at the Transportation Research Board (TRB).

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Faculty and staff
PG students
UG students
Systems Hub, HKUST(GZ)
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