S. P. Veed, S. M. Daftary, B. Singh, M. Rudra, S. Berhe (University of the Pacific), M. Maynard (Data Independence LLC) F. Khomh (Polytechnique Montreal)

The quality of software update systems is critical for the performance, security, and functionality of IoT devices. Grounded in NIST IR 8259A standards, which emphasize secure updates, device integrity, and minimal disruption, this paper evaluates how these requirements align with user expectations and challenges. By examining the standard’s technical requirements, the study identifies gaps where user feedback can inform improvements in update mechanisms. A survey of 52 participants provides feedback into user behaviors and concerns regarding software updates. Key challenges include performance degradation, dissatisfaction with interface changes, and inconsistent cross-platform experiences. Users prioritize security alongside performance and feature updates but express reservations about system slowdowns and time-intensive update processes. The findings highlight the need for secure, fast, and user-focused update systems that align with NIST standards. Proposed strategies include lightweight updates, context-aware notifications, and rigorous testing protocols to improve system reliability and user compliance.

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Jiangyi Deng (Zhejiang University), Xinfeng Li (Zhejiang University), Yanjiao Chen (Zhejiang University), Yijie Bai (Zhejiang University), Haiqin Weng (Ant Group), Yan Liu (Ant Group), Tao Wei (Ant Group), Wenyuan Xu (Zhejiang University)

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Lingzhi Wang (Northwestern University), Xiangmin Shen (Northwestern University), Weijian Li (Northwestern University), Zhenyuan LI (Zhejiang University), R. Sekar (Stony Brook University), Han Liu (Northwestern University), Yan Chen (Northwestern University)

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Yuejie Wang (Peking University), Qiutong Men (New York University), Yongting Chen (New York University Shanghai), Jiajin Liu (New York University Shanghai), Gengyu Chen (Carnegie Mellon University), Ying Zhang (Meta), Guyue Liu (Peking University), Vyas Sekar (Carnegie Mellon University)

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Chi-en Amy Tai (University of Waterloo), Urs Hengartner (University of Waterloo), Alexander Wong (University of Waterloo)

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