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Research Article | Open Access |

A Lightweight Anonymous Identity Authentication Scheme for the Internet of Things

Author 1: Zhengdong Deng Author 2: Xuannian Lei Author 3: Junyu Liang Author 4: Hang Xu Author 5: Zhiyuan Zhu Author 6: Na Lin Author 7: Zhongwei Li Author 8: Jingqi Du
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 16, No. 1 · Published 2025

DOI: https://doi.org/10.14569/IJACSA.2025.0160174

Abstract

With the rapid growth of Internet of Things (IoT) devices, many of which are resource-constrained and vulnerable to attacks, current identity authentication methods are often too resource-intensive to provide adequate security. This paper proposes an efficient identity authentication scheme that integrates Physical Unclonable Functions (PUFs), Chebyshev chaotic maps, and fuzzy extractors. The scheme enables mutual authentication and key agreement without the need for passwords or smart cards, while providing effective defense against various attacks. The security of the proposed scheme is formally analyzed using an improved BAN logic. A comparison with existing related protocols in terms of security features, computational overhead, and communication overhead demonstrates the security and efficiency of the proposed scheme.

Keywords

How to Cite this Article

Deng, Z., Lei, X., Liang, J., Xu, H., Zhu, Z., Lin, N., Li, Z., & Du, J. (2025). A Lightweight Anonymous Identity Authentication Scheme for the Internet of Things. International Journal of Advanced Computer Science and Applications, 16(1). https://doi.org/10.14569/IJACSA.2025.0160174

Deng, Zhengdong, et al.. "A Lightweight Anonymous Identity Authentication Scheme for the Internet of Things." International Journal of Advanced Computer Science and Applications, vol. 16, no. 1, 2025, https://doi.org/10.14569/IJACSA.2025.0160174.

@article{Deng2025,
  title     = {A Lightweight Anonymous Identity Authentication Scheme for the Internet of Things},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {1},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Zhengdong Deng and Xuannian Lei and Junyu Liang and Hang Xu and Zhiyuan Zhu and Na Lin and Zhongwei Li and Jingqi Du},
  doi       = {10.14569/IJACSA.2025.0160174},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160174}
}

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