The DOI matches its Crossref record.
Security Enhancement on a New Authentication Scheme With Anonymity for Wireless Environments
Abstract
In a paper recently published in the IEEE Transactions on Consumer Electronics, Zhu and Ma proposed a new authentication scheme with anonymity for wireless environments. However, this paper shows that Zhu and Ma's scheme has some security weaknesses. Therefore, in this paper, a slight modification to their scheme is proposed to improve their shortcomings. As a result, the scheme proposed in this paper can enhance the security of Zhu and Ma's scheme. Finally, the performance of this scheme is analyzed. Compared with the Zhu–Ma scheme, this scheme is also simple and efficient.
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Citations
Cited by
Review of security issues in industrial networks
Cheminod, M., Durante, L., & Valenzano, A. (2013) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2198666 · Cited by 349
Jiang, Q., Zhang, N., Ni, J., Ma, J., Ma, X., & Choo, K.-K. R. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2971254 · Cited by 266
Metadata
- Authors
- Lee, C.-C., Hwang, M.-S., & Liao, I.-E.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2006-10
- Volume
- 53
- Issue
- 5
- Pages
- 1683-1687
- ISSN
- 0278-0046 (ISSN-L)
- OpenAlex
- W2112350027
- Cited by
- 269
- References
- 0
- FWCI
- 8.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Security Enhancement on a New Authentication Scheme With Anonymity for Wireless Environments. https://app.cochat.ai/papers/10.1109/tie.2006.881998
- The paper
- Lee, C.-C., Hwang, M.-S., & Liao, I.-E. (2006). Security Enhancement on a New Authentication Scheme With Anonymity for Wireless Environments. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2006.881998
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
