DLR-Auth: A Decentralized Lightweight and Revocable Authentication Framework for the Industrial Internet of Things

The integration of operational technology (OT) and information technology (IT) within the Industrial Internet of Things (IIoT) has posed prominent security challenges for resource-constrained devices. Existing authentication architectures often suffer from critical vulnerabilities: one is their reliance on centralized trusted third parties, which creates single points of failure; the other is their use of static credentials like biometrics, which pose severe privacy risks if compromised. To address these limitations, this paper proposes DLR-Auth, which combines chaotic synchronization of semiconductor superlattice physically unclonable functions (SSL-PUFs) with Shamir’s secret sharing (SSS) to enable decentralized registration and revocable templates. Notably, DLR-Auth is a two-party authentication framework that removes the need for a separate online registration authority that operates directly between a user device (UDi) and a server (S). In our setting, the server S still acts as the central relying party and hardware authority embedding the matched SSL-PUF module. The protocol also includes an efficient multi-access mechanism optimized for high-frequency interactions. Formal security analysis with the Real-or-Random (ROR) model proves the semantic security of the session key, while performance evaluations demonstrate that DLR-Auth has significant advantages in computational and communication efficiency. DLR-Auth thus offers a robust, scalable, lightweight solution for next-generation secure IIoT systems.

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Publication Details

Journal
Cryptography
Published
2025-12-20
DOI
https://doi.org/10.3390/cryptography10010001
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
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article

DLR-Auth: A Decentralized Lightweight and Revocable Authentication Framework for the Industrial Internet of Things

Ming Liu, Yitong Li, Xianwei Gao, Yijia Dai et al.
Cryptography
Physical Unclonable Functions (PUFs) and Hardware Security
article

DLR-Auth: A Decentralized Lightweight and Revocable Authentication Framework for the Industrial Internet of Things

Ming Liu, Yitong Li, Xianwei Gao, Yijia Dai, Cong Bian, Ye Yuan
article en

Abstract

The integration of operational technology (OT) and information technology (IT) within the Industrial Internet of Things (IIoT) has posed prominent security challenges for resource-constrained devices. Existing authentication architectures often suffer from critical vulnerabilities: one is their reliance on centralized trusted third parties, which creates single points of failure; the other is their use of static credentials like biometrics, which pose severe privacy risks if compromised. To address these limitations, this paper proposes DLR-Auth, which combines chaotic synchronization of semiconductor superlattice physically unclonable functions (SSL-PUFs) with Shamir’s secret sharing (SSS) to enable decentralized registration and revocable templates. Notably, DLR-Auth is a two-party authentication framework that removes the need for a separate online registration authority that operates directly between a user device (UDi) and a server (S). In our setting, the server S still acts as the central relying party and hardware authority embedding the matched SSL-PUF module. The protocol also includes an efficient multi-access mechanism optimized for high-frequency interactions. Formal security analysis with the Real-or-Random (ROR) model proves the semantic security of the session key, while performance evaluations demonstrate that DLR-Auth has significant advantages in computational and communication efficiency. DLR-Auth thus offers a robust, scalable, lightweight solution for next-generation secure IIoT systems.

CryptographyVol. 10(1)
Beijing Electronic Science and Technology Institute (CN)
Openalex Percentile: Top 34%
Physical Unclonable Functions (PUFs) and Hardware Security
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DLR-Auth: A Decentralized Lightweight and Revocable Authentication Framework for the Industrial Internet of Things — Ming Liu, Yitong Li, et al. · Cryptography (2025) | TGRS Research Map | TGRS