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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Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi Lai (CSIRO Data61), Xun Yi (RMIT University), Xingliang Yuan (University of Melbourne)

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A Formal Approach to Multi-Layered Privileges for Enclaves

Ganxiang Yang (Shanghai Jiao Tong University), Chenyang Liu (Shanghai Jiao Tong University), Zhen Huang (Shanghai Jiao Tong University), Guoxing Chen (Shanghai Jiao Tong University), Hongfei Fu (Shanghai Jiao Tong University), Yuanyuan Zhang (Shanghai Jiao Tong University), Haojin Zhu (Shanghai Jiao Tong University)

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Passive Inference Attacks on Split Learning via Adversarial Regularization

Xiaochen Zhu (National University of Singapore & Massachusetts Institute of Technology), Xinjian Luo (National University of Singapore & Mohamed bin Zayed University of Artificial Intelligence), Yuncheng Wu (Renmin University of China), Yangfan Jiang (National University of Singapore), Xiaokui Xiao (National University of Singapore), Beng Chin Ooi (National University of Singapore)

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