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.

View More Papers

Modeling End-User Affective Discomfort With Mobile App Permissions Across...

Yuxi Wu (Georgia Institute of Technology and Northeastern University), Jacob Logas (Georgia Institute of Technology), Devansh Ponda (Georgia Institute of Technology), Julia Haines (Google), Jiaming Li (Google), Jeffrey Nichols (Apple), W. Keith Edwards (Georgia Institute of Technology), Sauvik Das (Carnegie Mellon University)

Read More

A New PPML Paradigm for Quantized Models

Tianpei Lu (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Bingsheng Zhang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Xiaoyuan Zhang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Kui Ren (The State Key Laboratory of Blockchain and Data Security, Zhejiang University)

Read More

Mixnets on a Tightrope: Quantifying the Leakage of Mix...

Sebastian Meiser, Debajyoti Das, Moritz Kirschte, Esfandiar Mohammadi, Aniket Kate

Read More