Chandranshu Gupta, Gaurav Varshney (IIT Jammu)

The Internet of Things (IoT) ecosystem is rapidly expanding, connecting resource-constrained devices that require lightweight and efficient security mechanisms. The Matter protocol standardizes secure communication in smart homes, relying on X.509 certificates for device authentication. While effective, the management of these certificates—including creation, storage, distribution, and revocation—is cumbersome and resourceintensive for IoT devices. Additionally, Matter’s reliance on private key storage increases vulnerability to key compromise. This paper proposes an improved lightweight authentication protocol combining Physical Unclonable Functions (PUFs) and Public Key Infrastructure (PKI) tailored for Matter-compliant IoT devices. By dynamically generating device-unique keys during operation, PUFs eliminate the need to store private keys, mitigating key extraction threats. The protocol reduces certificate storage overhead and simplifies the pairing process. Performance evaluations demonstrate significant reductions in computational overhead while maintaining robust security. By addressing Matter-specific challenges, the proposed approach optimizes device authentication, supports Perfect Forward Secrecy (PFS), and is well-suited for large-scale IoT deployments.

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Rethink Custom Transformers for Binary Analysis

Heng Yin, Professor, Department of Computer Science and Engineering, University of California, Riverside

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MTZK: Testing and Exploring Bugs in Zero-Knowledge (ZK) Compilers

Dongwei Xiao (The Hong Kong University of Science and Technology), Zhibo Liu (The Hong Kong University of Science and Technology), Yiteng Peng (The Hong Kong University of Science and Technology), Shuai Wang (The Hong Kong University of Science and Technology)

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Off-Path TCP Hijacking in Wi-Fi Networks: A Packet-Size Side...

Ziqiang Wang (Southeast University), Xuewei Feng (Tsinghua University), Qi Li (Tsinghua University), Kun Sun (George Mason University), Yuxiang Yang (Tsinghua University), Mengyuan Li (University of Toronto), Ganqiu Du (China Software Testing Center), Ke Xu (Tsinghua University), Jianping Wu (Tsinghua University)

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