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Rational Non-Hierarchical Quantum State Sharing Protocol 被引量:3

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摘要 Rational participants want to maximize their benefits.The protocol with rational participants will be more realistic than the protocol with honest,semi-honest and dishonest participants.We research the rational non-hierarchical quantum state sharing in this paper.General steps of some known quantum state sharing protocol are summarized.Based on these steps,a new rational protocol is proposed.It means that lots of common protocols could be modified to rational protocols.Our protocol is widely applicable.Analyses show that the proposed protocol is rational and secure.It is also all-win for agents.Furthermore,number of deceiving agents is considered to redefine the utilities of agents.
出处 《Computers, Materials & Continua》 SCIE EI 2019年第2期335-347,共13页 计算机、材料和连续体(英文)
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  • 1李宏,D. N. Wang.Erratum: Effects of Periodically Inhomogeneous Birefringence on Dark-Bright Vector Soliton Propagation and Interaction [Chin. Phys. Lett. 24 (2007) 462][J].Chinese Physics Letters,2007,24(3):846-846. 被引量:99
  • 2Z. J. Fu, X. M. Sun, Q. Liu, L. Zhou, and J. G. Shu, "Achieving Efficient Cloud Search Services: MultJ-keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing," IEICE Transactions on Communications, vol. E98-B, no. 1, pp.190-200, 2015.
  • 3S. D. Xie, Y. X. Wang, "Construction of Tree Net- work with Limited Delivery Latency in Homoge- neous Wireless Sensor Networks," Wireless Per- sonal Communications, 2014, 78(1): 231-246.
  • 4R Guo, J. Wang, B. Li, S. Y. Lee, "A Variable Threshold-value Authentication Architecture for Wireless Mesh Networks," Journal of Internet Technology, 2014, 15(6): 929-936.
  • 5T. H. Ma, J. J. Zhou, M. L. Tang, Y. Tian, A. AL- DHELAAN, M. AL-RODHAAN, and S. Y. LEE, "So- cial network and tag sources based augment- ing collaborative recommender system," IEICE transactions on Information and Systems, vol. E98-D, no.4, pp. 902-910, Apr. 2015.
  • 6B. Gu, V. S. Sheng, K. Y. Tay, W. Romano, and S. Li, "Incremental Support Vector Learning for Ordinal Regression," IEEE Transactions on Neu- ral Networks and Learning Systems, 2014, 26(7): 1403-1416.
  • 7Dublin City University and Ericsson, E-Stream Project, 2014. http://www.estream-project.com.
  • 8G. S. Manku and R. Motwani, "Approximate Fre- quency Counts over Data Streams" In: Proceed- ings of the 28th International Conference on Very Large Databases (VLDB Endowment 2002), pp. 346-57, 2002.
  • 9J. H. Chang and W. S. Lee, "Finding Recent Fre- quent Itemsets Adaptively over Online Data Streams," In: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (SlGKDD 2003), pp. 487-492, 2003.
  • 10H. F. Li and H. Chen, "Mining Non-Derivable Frequent Item Sets over Data Stream," Data & Knowledge Engineering, vol. 68, no. 5, May 2009, pp. 481-498.

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