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

Trim My View: An LLM-Based Code Query System for...

Sima Arasteh (University of Southern California), Pegah Jandaghi, Nicolaas Weideman (University of Southern California/Information Sciences Institute), Dennis Perepech, Mukund Raghothaman (University of Southern California), Christophe Hauser (Dartmouth College), Luis Garcia (University of Utah Kahlert School of Computing)

Read More

Defending Against Membership Inference Attacks on Iteratively Pruned Deep...

Jing Shang (Beijing Jiaotong University), Jian Wang (Beijing Jiaotong University), Kailun Wang (Beijing Jiaotong University), Jiqiang Liu (Beijing Jiaotong University), Nan Jiang (Beijing University of Technology), Md Armanuzzaman (Northeastern University), Ziming Zhao (Northeastern University)

Read More

RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial...

Dzung Pham (University of Massachusetts Amherst), Shreyas Kulkarni (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst)

Read More