1. 中国科学技术大学计算机科学技术系,安徽,合肥,230027
2. 安徽师范大学计算机科学系,安徽,芜湖,241000
3. 中国科学技术大学计算机科学技术系安徽合肥,230027
4. 安徽师范大学计算机科学系安徽芜湖,241000
纸质出版:2007
移动端阅览
罗永龙, 黄刘生, 徐维江, 等. 一个保护私有信息的多边形相交判定协议[J]. 电子学报, 2007,35(4):685-691.
LUO Yong-long, HUANG Liu-sheng, XU Wei-jiang, et al. A Protocol for Privacy-Preserving Intersect-Determination of Two Polygons[J]. Acta Electronica Sinica, 2007, 35(4): 685-691.
安全多方计算是信息安全领域的研究热点问题之一.保护私有信息的多边形相交判定是一个特殊的安全多方计算问题
在军事、商业等领域有着重要的应用前景.现有多边形相交判定算法的主要操作是执行点积协议
而目前的点积协议在安全性和计算效率上均难以同时满足该判定算法的要求.本文首先设计了一个常数时间的线段相交判定协议
在此基础上提出了一个保护私有信息的判定多边形相交的概率算法;证明了该算法是一个蒙特卡洛偏真算法
理论分析与实验结果均表明
该方法性能优于现有算法.
At present
research on secure multi-party computation is of great interest in the field of information security.Privacy-preserving intersect-determination of two polygons is a special secure multi-party computation problem
it can be applied in many fields
such as military field and commerce field.Scalar products protocol plays an important role in the known methods of privacy-preserving intersect-determination of two polygons
however
the current scalar products protocols aren't fit for the determination algorithm on the security and the complexity at the same time.In this paper
a protocol for privacy-preserving intersect-determination of two line segments is developed and a probability algorithm for privacy-preserving intersect-determination of two polygons is presented.Both of the theoretical analysis and the experiment results show that the new algorithms are more efficient than the current algorithm.
0
浏览量
1629
下载量
15
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621