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

Logical Maneuvers: Detecting and Mitigating Adversarial Hardware Faults in...

Fatemeh Khojasteh Dana, Saleh Khalaj Monfared, Shahin Tajik (Worcester Polytechnic Institute)

Read More

Privacy Preserved Integrated Big Data Analytics Framework Using Federated...

Sarah Kaleem (Prince Sultan University, PSU) Awais Ahmad (Imam Mohammad Ibn Saud Islamic University, IMSIU), Muhammad Babar (Prince Sultan University, PSU), Goutham Reddy Alavalapati (University of Illinois, Springfield)

Read More

PolicyPulse: Precision Semantic Role Extraction for Enhanced Privacy Policy...

Andrick Adhikari (University of Denver), Sanchari Das (University of Denver), Rinku Dewri (University of Denver)

Read More

PhantomLiDAR: Cross-modality Signal Injection Attacks against LiDAR

Zizhi Jin (Zhejiang University), Qinhong Jiang (Zhejiang University), Xuancun Lu (Zhejiang University), Chen Yan (Zhejiang University), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University)

Read More