The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Efficient Privacy-Aware Authentication Scheme for Mobile Cloud Computing Services
Abstract
With the exponential increase of the mobile devices and the fast development of cloud computing, a new computing paradigm called mobile cloud computing (MCC) is put forward to solve the limitation of the mobile device's storage, communication, and computation. Through mobile devices, users can enjoy various cloud computing services during their mobility. However, it is difficult to ensure security and protect privacy due to the openness of wireless communication in the new computing paradigm. Recently, Tsai and Lo proposed a privacy-aware authentication (PAA) scheme to solve the identification problem in MCC services and proved that their scheme was able to resist many kinds of existing attacks. Unfortunately, we found that Tsai and Lo's scheme cannot resist the service provider impersonation attack, i.e., an adversary can impersonate the service provider to the user. Also, the adversary can extract the user's real identity during executing the service provider impersonation attack. To address the above problems, in this paper, we construct a new PAA scheme for MCC services by using an identity-based signature scheme. Security analysis shows that the proposed PAA scheme is able to address the serious security problems existing in Tsai and Lo's scheme and can meet security requirements for MCC services. The performance evaluation shows that the proposed PAA scheme has less computation and communication costs compared with Tsai and Lo's PAA scheme.
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
Data security and privacy-preserving in edge computing paradigm: survey and open issues
Zhang, J., Chen, B., Zhao, Y., Cheng, X., & Hu, F. (2018) · IEEE Access · doi:10.1109/access.2018.2820162 · Cited by 514
BinDaaS: Blockchain-Based Deep-Learning as-a-Service in Healthcare 4.0 Applications
Bhattacharya, P., Tanwar, S., Bodkhe, U., Tyagi, S., & Kumar, N. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2019.2961932 · Cited by 284
Self-citationBlockchain envisioned uav networks: challenges, solutions, and comparisons
Mehta, P., Gupta, R., & Tanwar, S. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.01.023 · Cited by 266
A metaheuristic optimization approach for energy efficiency in the IoT networks
Iwendi, C., Maddikunta, P. K. R., Gadekallu, T. R., Lakshmanna, K., Bashir, A. K., & Piran, M. J. (2021) · Software: Practice and Experience · doi:10.1002/spe.2797 · Cited by 258
IoMT malware detection approaches: analysis and research challenges
Wazid, M., Das, A. K., Rodrigues, J. J. P. C., Shetty, S., & Park, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2960412 · Cited by 200
Metadata
- Authors
- He, D., Kumar, N., Khan, M. K., Wang, L., & Shen, J.
- Venue
- IEEE Systems Journal
- Published
- 2018-06
- Volume
- 12
- Issue
- 2
- Pages
- 1621-1631
- ISSN
- 1932-8184 (ISSN-L)
- 1937-9234
- 2373-7816
- OpenAlex
- W2561614683
- Cited by
- 175
- References
- 1
- FWCI
- 13.90
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Efficient Privacy-Aware Authentication Scheme for Mobile Cloud Computing Services. https://app.cochat.ai/papers/10.1109/jsyst.2016.2633809
- The paper
- He, D., Kumar, N., Khan, M. K., Wang, L., & Shen, J. (2018). Efficient Privacy-Aware Authentication Scheme for Mobile Cloud Computing Services. IEEE Systems Journal. https://doi.org/10.1109/jsyst.2016.2633809
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.