Advanced Search
Volume 35 Issue 11
Dec.  2013
Turn off MathJax
Article Contents
Tian Yun, Zhou Ming-Quan, Duan Fu-Qing, Wu Zhong-Ke. A Robust Segmentation Algorithm for Images with Intensity Inhomogeneity[J]. Journal of Electronics & Information Technology, 2011, 33(6): 1401-1406. doi: 10.3724/SP.J.1146.2010.01087
Citation: Du Yu-Tao, Bao Wan-Su, Guan Wen-Qiang, Zhou Chun, Fu Xiang-Qun. Multiparty-to-multiparty Quantum Secret Sharing Based on Dense-coding[J]. Journal of Electronics & Information Technology, 2013, 35(11): 2623-2629. doi: 10.3724/SP.J.1146.2013.00164

Multiparty-to-multiparty Quantum Secret Sharing Based on Dense-coding

doi: 10.3724/SP.J.1146.2013.00164
  • Received Date: 2013-01-29
  • Rev Recd Date: 2013-04-15
  • Publish Date: 2013-11-19
  • To solve the problem of secret sharing between multiparty and multiparty, a new multiparty-to- multiparty quantum secret sharing protocol is proposed based on dense-coding. It performs different local operations on different photons of the Bell state, choosing separately from the random phase shift operations and the combinations of Pauli operations and either Hadamard operation or I operation. This protocol can resist not only the existing attacks such as the dense-coding attack and the entanglement-swapping attack, but also the cheating attack from the agent, which is viewed as verifiability. Meanwhile, the protocol is also high-efficient and can change the sub-secrets and the group of agents dynamically.
  • Cited by

    Periodical cited type(6)

    1. 王昭, 娄昊, 范九伦. 一种基于模糊C均值的图像超像素分割方法. 微电子学与计算机. 2014(10): 18-21+27 .
    2. 吴涛. 图像阈值化的自适应粗糙熵方法. 中国图象图形学报. 2014(01): 1-10 .
    3. 罗亮, 冯象初, 张选德, 李小平. 基于非局部双边随机投影低秩逼近图像去噪算法. 电子与信息学报. 2013(01): 99-105 . 本站查看
    4. 李伟斌, 高二, 宋松和. 一种全局最小化的图像分割方法. 电子与信息学报. 2013(04): 791-796 . 本站查看
    5. 徐东, 彭真明. 基于C-V模型的改进快速水平集图像分割法. 强激光与粒子束. 2012(12): 2817-2821 .
    6. 董光辉, 席志红, 赵彦青. 基于文化算法的C-V水平集图像分割. 系统工程与电子技术. 2012(07): 1499-1504 .

    Other cited types(4)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2350) PDF downloads(731) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return