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.

View More Papers

“Where Are We On Cyber?” – A Qualitative Study...

Jens Christian Opdenbusch (Ruhr University Bochum), Jonas Hielscher (Ruhr University Bochum), M. Angela Sasse (Ruhr University Bochum, University College London)

Read More

Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces...

Yanzuo Chen (The Hong Kong University of Science and Technology), Zhibo Liu (The Hong Kong University of Science and Technology), Yuanyuan Yuan (The Hong Kong University of Science and Technology), Sihang Hu (Huawei Technologies), Tianxiang Li (Huawei Technologies), Shuai Wang (The Hong Kong University of Science and Technology)

Read More

Hidden and Lost Control: on Security Design Risks in...

Haoqiang Wang, Yiwei Fang (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences; Indiana University Bloomington), Yichen Liu (Indiana University Bloomington), Ze Jin (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences; Indiana University Bloomington), Emma Delph…

Read More

BrowserFM: A Feature Model-based Approach to Browser Fingerprint Analysis

Maxime Huyghe (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Clément Quinton (Univ. Lille, Inria, CNRS, UMR 9189 CRIStAL), Walter Rudametkin (Univ. Rennes, Inria, CNRS, UMR 6074 IRISA)

Read More