The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Designing Secure Lightweight Blockchain-Enabled RFID-Based Authentication Protocol for Supply Chains in 5G Mobile Edge Computing Environment
Open accessAbstract
Secure real-time data about goods in transit in supply chains needs bandwidth having capacity that is not fulfilled with the current infrastructure. Hence, 5G-enabled Internet of Things (IoT) in mobile edge computing is intended to substantially increase this capacity. To deal with this issue, in this article, we design a new efficient lightweight blockchain-enabled radio frequency identification (RFID)-based authentication protocol for supply chains in 5G mobile edge computing environment, called lightweight blockchain-enabled RFID-based authentication protocol (LBRAPS). LBRAPS is based on bitwise exclusive-or (XOR), one-way cryptographic hash and bitwise rotation operations only. LBRAPS is shown to be secure against various attacks. Moreover, the simulation-based formal security verification using the broadly-accepted Automated Validation of Internet Security Protocols and Applications (AVISPA) tool assures that LBRAPS is secure. Finally, it is shown that LBRAPS has better trade-off among its security and functionality features, communication and computation costs as compared to those for existing protocols.
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
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
Blockchain for AI: review and open research challenges
Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019) · IEEE Access · doi:10.1109/access.2018.2890507 · Cited by 1,001
Universally Composable Notions of Key Exchange and Secure Channels
Canetti, R., & Krawczyk, H. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-46035-7_22 · Cited by 746
Blockchain Technologies: The Foreseeable Impact on Society and Industry
Aste, T., Tasca, P., & Di Matteo, T. (2017) · Computer · doi:10.1109/mc.2017.3571064 · Cited by 676
AI and Blockchain: A Disruptive Integration
Dinh, T. N., & Thai, M. T. (2018) · Computer · doi:10.1109/mc.2018.3620971 · Cited by 317
Blockchain-based Mutual Authentication Security Protocol for Distributed RFID Systems
Wang, S., Zhu, S., & Zhang, Y. (2018) · 2018 IEEE Symposium on Computers and Communications (ISCC) · doi:10.1109/iscc.2018.8538567 · Cited by 40
Cited by
Blockchain-Based Reliable and Efficient Certificateless Signature for IIoT Devices
Wang, W., Xu, H., Alazab, M., Gadekallu, T. R., Han, Z., & Su, C. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3084753 · Cited by 285
Blockchain for Edge of Things: Applications, Opportunities, and Challenges
Gadekallu, T. R., Pham, Q.-V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., Pathirana, P. N., Zhao, J., & Hwang, W.-J. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3119639 · Cited by 217
Authentication protocols in internet of vehicles: Taxonomy, analysis, and challenges
Bagga, P., Das, A. K., Wazid, M., Rodrigues, J. J. P. C., & Park, Y. (2020) · IEEE Access · doi:10.1109/access.2020.2981397 · Cited by 168
Self-citationAlzoubi, Y. I., Gill, A., & Mishra, A. (2022) · Journal of Cloud Computing · doi:10.1186/s13677-022-00353-y · Cited by 60
State-of-the-art IoV trust management a meta-synthesis systematic literature review (SLR)
Rehman, A., Hassan, M. F., Yew, K. H., Paputungan, I., & Tran, D. C. (2020) · PeerJ Computer Science · doi:10.7717/peerj-cs.334 · Cited by 16
Metadata
- Authors
- Jangirala, S., Das, A. K., & Vasilakos, A. V.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2020-11
- Volume
- 16
- Issue
- 11
- Pages
- 7081-7093
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2973245241
- Cited by
- 231
- References
- 6
- FWCI
- 16.66
- Type
- journal article
- Language
- en
- Open access
- green
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: Designing Secure Lightweight Blockchain-Enabled RFID-Based Authentication Protocol for Supply Chains in 5G Mobile Edge Computing Environment. https://app.cochat.ai/papers/10.1109/tii.2019.2942389
- The paper
- Jangirala, S., Das, A. K., & Vasilakos, A. V. (2020). Designing Secure Lightweight Blockchain-Enabled RFID-Based Authentication Protocol for Supply Chains in 5G Mobile Edge Computing Environment. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2019.2942389
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.
