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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Maximilian Eichhorn (Friedrich-Alexander-Universitat Erlangen-Nurnberg), Andreas Hammer (Friedrich-Alexander-Universitat Erlangen-Nurnberg), Gaston Pugliese (Friedrich-Alexander-Universitat Erlangen-Nurnberg), Felix Freiling (Friedrich-Alexander-Universitat Erlangen-Nurnberg)

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Query Privacy in Data Spaces

Shuwen Liu (School of Data Science, The Chinese University of Hong Kong, Shenzhen, China), George C. Polyzos (School of Data Science, The Chinese University of Hong Kong, Shenzhen, China and ExcID P.C., Athens, Greece)

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Kushal Babel (Cornell Tech & IC3), Andrey Chursin (Mysten Labs), George Danezis (Mysten Labs & University College London (UCL)), Anastasios Kichidis (Mysten Labs), Lefteris Kokoris-Kogias (Mysten Labs & IST Austria), Arun Koshy (Mysten Labs), Alberto Sonnino (Mysten Labs & University College London (UCL)), Mingwei Tian (Mysten Labs)

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