Shilin Xiao (Zhejiang University), Wenjun Zhu (Zhejiang University), Yan Jiang (Zhejiang University), Kai Wang (Zhejiang University), Peiwang Wang (Zhejiang University), Chen Yan (Zhejiang University), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University)

Sensors are fundamental to cyber-physical systems (CPS), enabling perception and control by transducing physical stimuli into digital measurements. However, despite growing research on physical attacks on sensors, our understanding of sensor hardware vulnerabilities remains fragmented due to the ad-hoc nature of this field. Moreover, the infinite attack signal space further complicates threat abstraction and defense. To address this gap, we propose a systematization framework, termed sensor out-of-band (OOB) vulnerabilities, that for the first time provides a comprehensive abstraction for sensor attack surfaces based on underlying physical principles. We adopt a bottom-up systematization methodology that analyzes OOB vulnerabilities across three levels. At the component level, we identify the physical principles and limitations that contribute to OOB vulnerabilities. At the sensor level, we categorize known attacks and evaluate their practicality. At the system level, we analyze how CPS features such as sensor fusion, closed-loop control, and intelligent perception impact the exposure and mitigation of OOB threats. Our findings offer a foundational understanding of sensor hardware security and provide guidance and future directions for sensor designers, security researchers, and system developers aiming to build more secure sensors and CPS.

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Shaofei Li (Peking University), Jiandong Jin (Peking University), Hanlin Jiang (Peking University), Yi Huang (Peking University), Yifei Bao (Jilin University), Yuhan Meng (Peking University), Fengwei Hong (Peking University), Zheng Huang (Peking University), Peng Jiang (Southeast University), Ding Li (Peking University)

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Amrita Roy Chowdhury (University of Michigan, Ann Arbor), David Glukhov (University of Toronto and Vector Institute), Divyam Anshumaan (University of Wisconsin-Madison), Prasad Chalasani (Langroid Incorporated), Nicholas Papernot (University of Toronto and Vector Institute), Somesh Jha (University of Wisconsin-Madison), Mihir Bellare (University of California, San Diego)

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Icarus: Achieving Performant Asynchronous BFT with Only Optimistic Paths

Xiaohai Dai (Huazhong University of Science and Technology), Yiming Yu (Huazhong University of Science and Technology), Sisi Duan (Tsinghua University), Rui Hao (Wuhan University of Technology), Jiang Xiao (Huazhong University of Science and Technology), Hai Jin (Huazhong University of Science and Technology)

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