Correlated Randomness Reduction in Domain-Restricted Secure Two-Party Computation

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Keitaro HIWATASHI, Koji NUIDA
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引用次数: 0

Abstract

Secure two-party computation is a cryptographic tool that enables two parties to compute a function jointly without revealing their inputs. It is known that any function can be realized in the correlated randomness (CR) model, where a trusted dealer distributes input-independent CR to the parties beforehand. Sometimes we can construct more efficient secure two-party protocol for a function g than that for a function f, where g is a restriction of f. However, it is not known in which case we can construct more efficient protocol for domain-restricted function.
受限域安全两方计算中的相关随机约简
安全的双方计算是一种加密工具,它使双方能够在不泄露其输入的情况下共同计算一个函数。已知在关联随机性(CR)模型中,任何函数都可以实现,其中可信的经销商事先将与输入无关的CR分发给各方。有时我们可以为函数g构造比函数f更有效的安全两方协议,其中g是对f的一个限制。然而,在哪种情况下我们可以为域限制函数构造更有效的协议是未知的。
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来源期刊
CiteScore
1.10
自引率
20.00%
发文量
137
审稿时长
3.9 months
期刊介绍: Includes reports on research, developments, and examinations performed by the Society''s members for the specific fields shown in the category list such as detailed below, the contents of which may advance the development of science and industry: (1) Reports on new theories, experiments with new contents, or extensions of and supplements to conventional theories and experiments. (2) Reports on development of measurement technology and various applied technologies. (3) Reports on the planning, design, manufacture, testing, or operation of facilities, machinery, parts, materials, etc. (4) Presentation of new methods, suggestion of new angles, ideas, systematization, software, or any new facts regarding the above.
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