Paul Agbaje, Abraham Mookhoek, Afia Anjum, Arkajyoti Mitra (University of Texas at Arlington), Mert D. Pesé (Clemson University), Habeeb Olufowobi (University of Texas at Arlington)

Millions of lives are lost due to road accidents each year, emphasizing the importance of improving driver safety measures. In addition, physical vehicle security is a persistent challenge exacerbated by the growing interconnectivity of vehicles, allowing adversaries to engage in vehicle theft and compromising driver privacy. The integration of advanced sensors with internet connectivity has ushered in the era of intelligent transportation systems (ITS), enabling vehicles to generate abundant data that facilitates diverse vehicular applications. These data can also provide insights into driver behavior, enabling effective driver monitoring to support safety and security. In this paper, we propose AutoWatch, a graph-based approach for modeling the behavior of drivers, verifying the identity of the driver, and detecting unsafe driving maneuvers. Our evaluation shows that AutoWatch can improve driver identification accuracy by up to 22% and driving maneuver classification by up to 5.7% compared to baseline techniques.

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Security-Performance Tradeoff in DAG-based Proof-of-Work Blockchain Protocols

Shichen Wu (1. School of Cyber Science and Technology, Shandong University 2. Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education), Puwen Wei (1. School of Cyber Science and Technology, Shandong University 2. Quancheng Laboratory 3. Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education), Ren Zhang (Cryptape Co. Ltd. and…

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Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering

Rui Zhu (Indiana University Bloominton), Di Tang (Indiana University Bloomington), Siyuan Tang (Indiana University Bloomington), Zihao Wang (Indiana University Bloomington), Guanhong Tao (Purdue University), Shiqing Ma (University of Massachusetts Amherst), XiaoFeng Wang (Indiana University Bloomington), Haixu Tang (Indiana University, Bloomington)

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UniID: Spoofing Face Authentication System by Universal Identity

Zhihao Wu (Zhejiang University), Yushi Cheng (Zhejiang University), Shibo Zhang (Zhejiang University), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejing University)

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