The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Two-factor mutual authentication based on smart cards and passwords
Open accessAbstract
One of the most commonly used two-factor user authentication mechanisms nowadays is based on smart-card and password. A scheme of this type is called a smart-card-based password authentication scheme. The core feature of such a scheme is to enforce two-factor authentication in the sense that the client must have the smart-card and know the password in order to gain access to the server. In this paper, we scrutinize the security requirements of this kind of schemes, and propose a new scheme and a generic construction framework for smart-card-based password authentication. We show that a secure password based key exchange protocol can be efficiently transformed to a smart-card-based password authentication scheme provided that there exist pseudorandom functions and target collision resistant hash functions. Our construction appears to be the first one with provable security. In addition, we show that two recently proposed schemes of this kind are insecure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Password authentication with insecure communication
Lamport, L. (1981) · Communications of the ACM · doi:10.1145/358790.358797 · Cited by 2,789
Cited by
Two birds with one stone: two-factor authentication with security beyond conventional bound
Wang, D., & Wang, P. (2016) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2605087 · Cited by 539
Anonymous Two-Factor Authentication in Distributed Systems: Certain Goals Are Beyond Attainment
Wang, D., He, D., Wang, P., & Chu, C.-H. (2015) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2014.2355850 · Cited by 451
Wang, D., Li, W., & Wang, P. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2834351 · Cited by 272
A Robust Mutual Authentication Protocol for Wireless Sensor Networks
Chen, T.-H. (2010) · ETRI Journal · doi:10.4218/etrij.10.1510.0134 · Cited by 254
Qiu, S., Wang, D., Xu, G., & Kumari, S. (2020) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2020.3022797 · Cited by 224
Metadata
- Authors
- Yang, G., Wong, D. S., Wang, H., & Deng, X.
- Venue
- Journal of Computer and System Sciences
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 74
- Issue
- 7
- Pages
- 1160-1172
- ISSN
- 0022-0000 (ISSN-L)
- OpenAlex
- W1981342917
- Cited by
- 195
- References
- 1
- FWCI
- 17.01
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
