ChaeYoung Kim (Seoul Women's University), Kyounggon Kim (Naif Arab University for Security Sciences)

The integration of robotics and IoT technologies into everyday systems has revolutionized smart environments while introducing critical security and privacy challenges. This paper presents FORESIGHT, a unified framework for threat modeling and risk assessment, that addresses vulnerabilities in autonomous robotics and IoT ecosystems. By categorizing threats into robot-oriented, user-oriented, and environmental domains, FORESIGHT enables comprehensive risk analysis and prioritization of high-risk threats. Using Bayesian networks, the framework evaluates cascading vulnerabilities and interdependencies across system layers. Aligned with international standards such as ISO 13482, IEC 62443, and GDPR, FORESIGHT ensures a structured approach to improving the resilience of humancentered interconnected systems.

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Xiaochen Li (University of Virginia), Zhan Qin (Zhejiang University), Kui Ren (Zhejiang University), Chen Gong (University of Virginia), Shuya Feng (University of Connecticut), Yuan Hong (University of Connecticut), Tianhao Wang (University of Virginia)

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Tongxin Wei (Nankai University), Ding Wang (Nankai University), Yutong Li (Nankai University), Yuehuan Wang (Nankai University)

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Weili Wang (Southern University of Science and Technology), Honghan Ji (ByteDance Inc.), Peixuan He (ByteDance Inc.), Yao Zhang (ByteDance Inc.), Ye Wu (ByteDance Inc.), Yinqian Zhang (Southern University of Science and Technology)

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Ruishi Li (National University of Singapore), Bo Wang (National University of Singapore), Tianyu Li (National University of Singapore), Prateek Saxena (National University of Singapore), Ashish Kundu (Cisco Research)

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