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Consortium Blockchain-Based Secure and Efficient Authentication Scheme for Smart Devices

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rapid development of the Industrial Internet of Things, the security and privacy of identity authentication for smart devices have become critical issues. Traditional authentication mechanisms face challenges such as physical attacks and data privacy breaches in distributed environments. To address these issues, this paper proposes a consortium blockchain-based secure and efficient authentication scheme for smart devices. The scheme leverages Physical Unclonable Functions, zero-knowledge proofs, and consortium blockchain technology to achieve an efficient, decentralized, and scalable identity authentication method. First, we combine SRAM PUF, hash algorithms, and elliptic curve cryptography to generate unique device identifiers, which are then mapped to elliptic curve group elements, thereby enhancing the resistance of device identity authentication against attacks. Second, zk-SNARKs are used to construct non-interactive zero-knowledge proofs, enabling devices to be authenticated efficiently without revealing sensitive information, thus improving the privacy and efficiency of the authentication process. Finally, the consortium blockchain enables distributed storage and multi-party verification of authentication information, ensuring the transparency and credibility of the authentication process. Security analysis demonstrates that the proposed scheme can resist replay attacks, man-in-the-middle attacks, and forgery attacks, effectively ensuring the anonymity of device identities and the integrity of data. The results show that this scheme provides robust technical support for IIoT and offers an innovative approach to identity authentication in large-scale device management.

Original languageEnglish
Title of host publicationProceedings of the 1st Electrical Artificial Intelligence Conference, EAIC 2024
EditorsRonghai Qu, Zhengxiang Song, Zhiming Ding, Gang Mu, Rui Xiong, Li Han
PublisherSpringer Science and Business Media Deutschland GmbH
Pages424-432
Number of pages9
ISBN (Print)9789819640621
DOIs
StatePublished - 2025
Event1st Electrical Artificial Intelligence Conference, EAIC 2024 - Nanjing, China
Duration: 6 Dec 20248 Dec 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1395 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference1st Electrical Artificial Intelligence Conference, EAIC 2024
Country/TerritoryChina
CityNanjing
Period6/12/248/12/24

Keywords

  • Consortium Block-chain
  • Device Authentication
  • Physical Unclonable Function
  • Zero-Knowledge Proof

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