The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Hybrid threshold adaptable quantum secret sharing scheme with reverse Huffman-Fibonacci-tree coding
Open accessAbstract
With prevalent attacks in communication, sharing a secret between communicating parties is an ongoing challenge. Moreover, it is important to integrate quantum solutions with classical secret sharing schemes with low computational cost for the real world use. This paper proposes a novel hybrid threshold adaptable quantum secret sharing scheme, using an m-bonacci orbital angular momentum (OAM) pump, Lagrange interpolation polynomials, and reverse Huffman-Fibonacci-tree coding. To be exact, we employ entangled states prepared by m-bonacci sequences to detect eavesdropping. Meanwhile, we encode m-bonacci sequences in Lagrange interpolation polynomials to generate the shares of a secret with reverse Huffman-Fibonacci-tree coding. The advantages of the proposed scheme is that it can detect eavesdropping without joint quantum operations, and permits secret sharing for an arbitrary but no less than threshold-value number of classical participants with much lower bandwidth. Also, in comparison with existing quantum secret sharing schemes, it still works when there are dynamic changes, such as the unavailability of some quantum channel, the arrival of new participants and the departure of participants. Finally, we provide security analysis of the new hybrid quantum secret sharing scheme and discuss its useful features for modern applications.
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Cites
Shamir, A. (1979) · Communications of the ACM · doi:10.1145/359168.359176 · Cited by 13,756
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Ekert, A. K. (1991) · Physical Review Letters · doi:10.1103/physrevlett.67.661 · Cited by 10,777
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A single quantum cannot be cloned
Wootters, W. K., & Zurek, W. H. (1982) · Nature · doi:10.1038/299802a0 · Cited by 5,406 · cited 4×
“The security of their scheme is guaranteed by the quantum no-cloning theorem 13 .”
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Albuquerque, B. R., Heleno, S. A., Oliveira, M. B. P. P., Barros, L., & Ferreira, I. C. F. R. (2021) · Food & Function · doi:10.1039/d0fo02324h · Cited by 716
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Molaei, M. J. (2019) · RSC Advances · doi:10.1039/c8ra08088g · Cited by 538
pH ‐sensitive polymers: Classification and some fine potential applications
Ofridam, F., Tarhini, M., Lebaz, N., Gagnière, É., Mangin, D., & Elaissari, A. (2021) · Polymers for Advanced Technologies · doi:10.1002/pat.5230 · Cited by 286
The brain as an insulin-sensitive metabolic organ
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Metadata
- Authors
- Lai, H., Zhang, J., Luo, M.-X., Pan, L., Pieprzyk, J., Xiao, F., & Orgun, M. A.
- Venue
- Scientific Reports
- Published
- 2016-08-12
- Volume
- 6
- Issue
- 1
- Pages
- 31350-31350
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2508570029
- Cited by
- 808
- References
- 5
- FWCI
- 58.92
- Type
- journal article
- Language
- en
- Open access
- gold
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