• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Wei Xiaochao, Jiang Han, Zhao Chuan. An Efficient 1-out-of-n Oblivious Transfer Protocol with Full Simulation[J]. Journal of Computer Research and Development, 2016, 53(11): 2475-2481. DOI: 10.7544/issn1000-1239.2016.20150505
Citation: Wei Xiaochao, Jiang Han, Zhao Chuan. An Efficient 1-out-of-n Oblivious Transfer Protocol with Full Simulation[J]. Journal of Computer Research and Development, 2016, 53(11): 2475-2481. DOI: 10.7544/issn1000-1239.2016.20150505

An Efficient 1-out-of-n Oblivious Transfer Protocol with Full Simulation

More Information
  • Published Date: October 31, 2016
  • Oblivious transfer (OT) is an important basic cryptographic tool, which can be used in the constructions of many other cryptographic protocols, such as secure multi-party computation (SMPC) protocols, private information retrieval (PIR) and so on. The 1-out-of-n oblivious transfer (OT\+1\-n) setting involves two parties, the sender S and the receiver R. More specificly, the sender has n values and the receiver wants to obtain only one value from them. At the same time, the receiver’s choice is unknown to the sender and the receiver gets no extra information about the other values he doesn’t choose. In this paper, we firstly propose an efficient OT\+1\-n protocol based on the decisional Diffie-Hellman (DDH) hard problem assumption with full simulation in the standard malicious model. The full simulation means that the protocol can be simulated when the receiver and the sender are corrupted respectively under the ideal/real simulation paradigm, and also this is the highest security level in the standard stand-alone model. The idea behind the protocol mainly benefits from the dual-mode cryptosystem and the combination of zero-knowledge proof of knowledge (ZKPOK) of Diffie-Hellman tuples. The protocol has constant number of interactive complexity, and the computation and communication complexity is just liner of n.
  • Related Articles

    [1]Liu Song, Wu Weiguo, Zhao Bo, Jiang Qing. Loop Tiling for Optimization of Locality and Parallelism[J]. Journal of Computer Research and Development, 2015, 52(5): 1160-1176. DOI: 10.7544/issn1000-1239.2015.20131387
    [2]Zhou Xu, Zhou Yantao, Ouyang Aijia, Li Kenli. An Efficient Tile Assembly Model for Maximum Clique Problem[J]. Journal of Computer Research and Development, 2014, 51(6): 1253-1262.
    [3]Li Kenli, Luo Xing, Wu Fan, Zhou Xu, and Huang Xin. An Algorithm in Tile Assembly Model for Maximum Clique Problem[J]. Journal of Computer Research and Development, 2013, 50(3): 666-675.
    [4]Zhou Xu, Li Kenli, Yue Guangxue, Yang Zhibang. A Volume Molecular Solution for the Maximum Matching Problem on DNA-Based Computing[J]. Journal of Computer Research and Development, 2011, 48(11): 2147-2154.
    [5]Li Kenli, Guo Li, Tang Zhuo, Jiang Yong, and Li Renfa. A Molecular Solution for the Ramsey Number on DNA-Based Supercomputing[J]. Journal of Computer Research and Development, 2011, 48(3): 447-454.
    [6]Xu Guang, An Hong, Xu Mu, Liu Gu, Yao Ping, Ren Yongqing, and Wang Fang. The Architecture and the Programming Model of a Data-Flow-Like Driven Tiled Stream Processor[J]. Journal of Computer Research and Development, 2010, 47(9): 1643-1653.
    [7]Li Kenli, Yao Fengjuan, Li Renfa, Xu Jin. Improved Molecular Solutions for the Knapsack Problem on DNA-Based Supercomputing[J]. Journal of Computer Research and Development, 2007, 44(6): 1063-1070.
    [8]Han Aili, Zhu Daming. DNA Computing Model Based on a New Scheme of Encoding Weight for Chinese Postman Problem[J]. Journal of Computer Research and Development, 2007, 44(6): 1053-1062.
    [9]Wang Lei, Lin Yaping, and Li Zhiyong. DNA Computation for a Category of Special Integer Planning Problem[J]. Journal of Computer Research and Development, 2005, 42(8): 1431-1437.
    [10]Chen Zhiping, Li Xiaolong, Wang Lei, Lin Yaping, and Cai Lijun. A Surface-Based DNA Algorithm for the Perfect Matching Problem[J]. Journal of Computer Research and Development, 2005, 42(7): 1241-1246.

Catalog

    Article views PDF downloads Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return