Muhammad Hassan (University of Illinois Urbana Champaign), Carl Gunter (University of Illinois Urbana Champaign), Susan Landau (Tufts University), Masooda Bashir (University of Illinois Urbana Champaign)

Matter seeks to resolve long-standing interoper-ability problems in the Internet of Things (IoT), yet little is known about how developers experience the standard in day-to-day work. This paper examines over 13,000 issues from the official Project CHIP GitHub repository to understand the kinds of problems contributors report when implementing and integrating Matter. Using topic modeling and qualitative analysis, we identify four recurring areas of concern—Testing, Interoperability, Development, and Platform & Network—and describe how they manifest in the evolution of the codebase and tooling. The findings reveal systematic technical and integration challenges and point to concrete opportunities to refine Matter’s test infrastructure, cross-vendor guidance, and documentation as the standard continues to mature.

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DirtyFree: Simplified Data-Oriented Programming in the Linux Kernel

Yoochan Lee (Max Planck Institute for Security and Privacy), Hyuk Kwon (Theori, Inc.), Thorsten Holz (Max Planck Institute for Security and Privacy)

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Pando: Extremely Scalable BFT Based on Committee Sampling

Xin Wang (Tsinghua University and State Key Laboratory of Cryptography and Digital Economy Security), Haochen Wang (Tsinghua University), Haibin Zhang (Yangtze Delta Region Institute of Tsinghua University, Zhejiang), Sisi Duan (Tsinghua University, Zhongguancun Laboratory, Shandong Institute of Blockchains and State Key Laboratory of Cryptography and Digital Economy Security)

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TIPSO-GAN: Malicious Network Traffic Detection Using a Novel Optimized...

Ernest Akpaku (School of Computer Science and Communication Engineering, Jiangsu University), Jinfu Chen (School of Computer Science and Communication Engineering, Jiangsu University), Joshua Ofoeda (University of Professional Studies, Accra)

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