Hardware Oriented Vehicle Security (HOVS)
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Dr. Kun Yang (kuny@zju.edu.cn)
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Dr. Haoting Shen (htshen@zju.edu.cn)
Emerging techniques, such as AI, smart IoTs and high performance chips, have significantly enhanced vehicle intelligence and connectivity. While it makes smart cars approaching L4 autonomous driving, the enlarged attack surface has consequently led to an exponential expansion of security risks. Although plenty of classic cybersecurity techniques have been applied on smart vehicles, customized systematic security designs and tests for the intelligent vehicles are still in a lack. We propose organizing the workshop to bring experts from academia, industry, and regulatory bodies, for exchanging ideas and sharing the latest advancements on this platform.
The workshop will cover:
Centered on practical demands from intelligent vehicle manufacturers, this session will systematically examine mainstream vehicle information security frameworks (e.g., distributed security architectures, centralized protection platforms) and analyze their limitations in hardware-layer implementations. Discussions will emphasize standardization strategies to enhance intrinsic security capabilities of in-vehicle hardware systems.
From a research perspective, this session will explore several critical technological domains: 1) vehicle security chips: design of high-reliability, low-power hardware trust roots and automotive-grade certification mechanisms. 2) Data-bus intrusion detection: real-time detection of multimodal sensor data and anomaly detection techniques. 3) Human-vehicle interaction privacy: privacy leakage prevention for biometric and voice-controlled interaction hardware. 4) Environmental perception reliability: anti-physical interference and data integrity verification for LiDAR, cameras, and other perception hardware.
This workshop aims to foster interdisciplinary collaboration, bringing together researchers, engineers, and policymakers to discuss cutting-edge solutions for securing intelligent vehicle systems. By facilitating technical discussions and knowledge sharing, this event will contribute to the advancement of next-generation secure automotive chips, ultimately enhancing the safety and trustworthiness of intelligent vehicles.
We anticipate a total of approximately 50 attendees, including around 20 experts from academia, industry, and regulatory bodies, as well as approximately 30 student participants. The event is expected to attract a significant number of students, given the growing interest in automotive security, intelligent vehicle technologies, and secure chip design. The participation of experts will provide valuable insights and guidance, fostering knowledge exchange and collaboration between industry professionals and the next generation of researchers and engineers.
Kun Yang is a ZJU100 professor at college of computer science and technology, Zhejiang University, China. He received his Ph.D. from the University of Florida, USA, in 2018. He previously served as a Senior Security Architect at NVIDIA Corporation. His research focuses on secure chip architectures, hardware-software integrated security architectures, and intelligent connected vehicle security. He has published numerous research papers in leading journals and conferences, such as TCAD, TC, DAC, ICCAD, HOST, BlackHat USA, etc. He was honored with the sole first-place Best Paper Award at the 2020 NVIDIA NTECH Conference, and received a Best Paper Award Nomination at the 2016 IEEE HOST. He has collaborated with multiple leading enterprises and research institutions, including Huawei, Ant Group, Horizon Robotics, H3C, Zeekr, Geely, etc.
Organizing experience: He has served as Conference Chair or Forum Chair at multiple international conferences, including the Program Committee Chair of the 7th International Conference on Circuits and Systems (ICCS 2025) and the Forum Chair of the 7th International Test Conference in Asia (ITC-Asia 2024).
Selected Paper:
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Kun Yang, Domenic Forte, Mark M Tehranipoor. UCR: An unclonable chipless RFID tag. HOST 2016 (Best Paper Award Nomination)
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Kun Yang, Vienna Pan, Yuji Qian, Dave Wu, Ethan Wang, Shawn Hu, Carol Yao, Charles Wang, Joe Xie, Paul Chou. Crypto Accelerator DPA Resistance Evaluation and Enhancement. NVIDIA 2020 NTECH Conference (First-place Best Paper Award)
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Zhiyuan Chen, Kun Yang, and Kui Ren, CDS: An Anti-Aging Calibratable Digital Sensor for Detecting Multiple Types of Fault Injection Attacks. DAC 2024
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Qianmei Wu, Fan Zhang, Shize Guo, Kun Yang, Haoting Shen. A Unified and Fully Automated Framework for Wavelet-based Attacks on Random Delay. TC 2024
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Fan Zhang, Junge Xu, Wenguang Jin, Kun Yang, Zeke Wang, Weixiong Jiang, Yajun Ha. A Deep Investigation on Stealthy DVFS Fault Injection Attacks at DNN Hardware Accelerators. TCAD 2024
Haoting Shen is a ZJU100 professor at college of computer science and technology, Zhejiang University, China. He received his Ph.D. from the Penn State University, USA, in 2014. His research interests cover hardware-software integrated data verification, intelligent connected vehicle security, and AI-enhanced autonomous driving test. He has published research papers in premium venues, including TCHES, TCAD, TC, HOST. He has collaborated with multiple leading vehicle enterprises and research institutions, including Huawei, Zeekr, Geely, etc.
Organizing experience:
Publication Chair, IEEE International Workshop on Physical Attacks and Inspection on Electronics, 2020 – 2022
Session chair of Network Security (II), The 17th International Conference on Mobility, Sensing and Networking (MSN), 2021
Session chair of Hardware Attacks, Security and Reverse Engineering , the 45th International Symposium for Testing and Failure Analysis (ISTFA), 2019
Selected Paper:
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Qianmei Wu, Fan Zhang, Shize Guo, Kun Yang, and Haoting Shen. A Unified and Fully Automated Framework for Wavelet-based Attacks on Random Delay. TC 2024
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Fan Zhang, Zhiyong Wang, Haoting Shen*, Bolin Yang, Qianmei Wu, and Kui Ren. DARPT: defense against remote physical attack based on TDC in multi-tenant scenario. DAC 2022
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Chenxing Wang, Lily Raymond, Yifei Jin, Alireza Tavakkoli, and Haoting Shen. 3D unclonable optical identity for universal product verification. HOST 2021
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Bicky. Shakya, Haoting Shen, Domenic Forte, and Mark Tehranipoor. Covert Gates: Protecting Integrated Circuits with Undetectable Camouflaging. TCHES 2019
Xiaohang Wang received the B. Eng. and Ph. D. degree in communication and electronic engineering from Zhejiang University, in 2006 and 2011, respectively. He is currently a professor at Zhejiang University. He was the receipt of PDP 2015 and VLSI-SoC 2014 Best Paper Awards. His research interests include vehicle security and many-core systems.
Organizing experience:
Session organizer, CODES+ISSS 2025
Session organizer NoCS 2018
Selected Publications:
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Xiaohang Wang, Yifan Wang, Yingtao Jiang, Amit Kumar Singh, Mei Yang, On Task Mapping in Multi-chiplet Based Many-Core Systems to Optimize Inter- and Intra-chiplet Communications. TC 2025
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Shengjie Wang, Xiaohang Wang, Yingtao Jiang, Amit Kumar Singh, Mei Yang, Letian Huang, Modeling and Analysis of Thermal Covert Channel Attacks in Many-core Systems. TC 2023
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Shengyan Wen, Xiaohang Wang, Amit Kumar Singh, Yingtao Jiang, Mei Yang, Performance Optimization of Many-Core Systems by Exploiting Task Migration and Dark Core Allocation. TC 2022
Yang Yin is currently the cybersecurity technical director of the Geely R&D Center, the cybersecurity technical leader in global Geely Group, also the department manager of the cybersecurity department, serving as an adjunct professor in Zhejiang University and Ningbo University, technical expert of Working Party on Automated/Autonomous and Connected Vehicles (GRVA) under UNECE World Forum for Harmonization of Vehicle Regulations (WP.29), technical expert in China National Technical Committee of Auto Standardization, and China Communications Standards Association. His work focuses on the cybersecurity implementation in connected vehicles, including cybersecurity design, pen testing, data protection and AI security and safety in autonomous vehicles.
Organization experiences:
General chair, China DSI automotive annual meeting (2023)
Chair of multiple National Technical Committee for Automotive Standardization (NTCAS) standard workshops
The organizers have multiple projects funded by Zhejiang University, Geely Auto, Huawei, and Ant Group, with budgets including the support of non-commercial international academic communications. Costs including the rental of room and devices, food and drink during the coffee break, materials like fliers and name cards, and other related spends can be covered.
Academic workshops focusing on vehicle security are comparably new and this is the first one we are planning. Similar events include Vehicle Security and Privacy (VehicleSec), which was held in 2024 for the first time and has become a USENIX symposium since 2025 (www.usenix.org/conference/vehiclesec25), and Workshop on Automotive Cyber Security (ACSW), which collocated with EuroS&P since 2022 (https://acsw.unimore.it ).