安全多方计算
- 网络secure multi-party computation;secure multiparty computation
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后者可以说是密码学的新方向,安全多方计算是现代密码学中重要的、成果丰富的研究领域。
The latter is the new direction of cryptography . Secure multi-party computation ( SMC ) protocols have been an important and fruitful area of research for modern cryptography .
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基于安全多方计算的BGP策略冲突检测算法
An Approach to Seeking BGP Policy Confliction Based on Secure Multi-Party Computation
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提出一种基于Proactive可验证秘密共享和安全多方计算的数字作品所有权证明方案。
This paper proposes an ownership proofs scheme for digital works based on proactive verifiable secret sharing and secure multiparty computation .
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Mix-Match安全多方计算的一个注记
A Note on Mix-Match Secure Multi-Party Computation
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创新性地将安全多方计算方法和K匿名方法相结合,对数据挖掘过程中的个性化隐私保护问题进行了研究。
Experimental results demonstrate that the privacy preserving algorithm can well protect the original data from revealing , and keep high classification correct accuracy . ( 3 ) We innovatively combined the secure multiparty computation ( SMC ) with k-anonymity technology , and achieved personalized privacy preserving distributed data mining .
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安全多方计算问题首先由图灵奖得主Yao提出,随着学者的深入研究,目前已经细化产生了许多研究方向,比如秘密分享,计算几何,网上谈判,电子投票等。
This problem that was first proposed by Yao is creative problem in the SMC . Later scholars have done this in-depth research . SMC has generated a lot of research directions , such as secret sharing , computational geometry , on-line negotiations , electronic voting and so on .
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新兴的理性多方计算(RationalMultipartyComputation,RMPC)是多方博弈、安全多方计算、多方通信等分支的交叉研究领域,致力于解决理性主体假设下协议运行结局与预期解的一致性问题。
Emerging Rational Multiparty Computation ( RMPC ) protocol is the interdisciplinary subject of many branches such as multiparty game , secure multiparty computation , group communication , aiming at solving the consistency problem of protocol execution result and expected solution under the rational protocol participant assumption .
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自图灵奖得主A.C.Yao于上世纪80年代初提出安全多方计算的概念以来,该领域已经成为现代密码学的重要研究内容之一,引起了众多研究者的兴趣。
Since it was initially suggested by A.C.Yao in the 1980s , SMC have been a major part of modern cryptography and attracted numerous researchers ' interest .
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安全多方计算在密码学领域中拥有相当重要的地位。
Secure multi-party computation protocol is an important area in cryptography .
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另一方面,安全多方计算有着很强的应用背景。
On the other hand , SMC has a strong application background .
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基于隐私保护的企业间安全多方计算研究
Study of Privacy Preserving in Secure Multi-party Computation Between Enterprises
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安全多方计算中的若干应用问题研究
Study on Some Applications of Secure Multiparty Computation Protocols
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安全多方计算的关键技术分析
Analysis on the key techniques of secure multiparty computation
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为了解决这样的问题,出现了安全多方计算的概念。
For resolving this problem we develop the concept of Secure Multi-party Computation .
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基于安全多方计算的供应链产能分配机制
On Capacity Allocation Mechanism of the Supply Chain Based on Secure Multi-party Computation
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几类特殊的安全多方计算问题的研究
Study on Several Special Secure Multi-Party Computation Problems
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安全多方计算及其应用研究
Study on Secure Multi-Party Computation and Its Applications
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安全多方计算协议的研究与应用
Research and Application of Secure Multiparty Computation Protocols
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密钥共享体制与安全多方计算
Secret Sharing Schemes and Secure Multi-party Computation
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因此安全多方计算问题吸引了许多学者对其进行研究。
So many scholars studied the problem .
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研究了安全多方计算中的几何计算问题,总结了其发展和研究成果;提出了一个解决安全多方判断三角不等式地协议,并将该协议应用于安全多方几何计算方面。
Research the problem of secure multi-party computational geometry and Summary the development and results .
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基于安全多方计算的保护隐私的数据挖掘很好的解决了上述难题。
Based on Secure Multi-party Computing , privacy preserving data mining can solve the problem well .
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研究了安全多方计算的一个特例&组密钥协商。
The group key agreement has been discussed as a special case of secure multi-party computation .
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目前已经有很多学者对安全多方计算问题进行了研究,并得到了很好的结果。
At present , research on SMC are of great interest and have already got good results .
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目前,安全多方计算已成为现代密码学领域中一个非常重要的分支,并成为信息安全的一个重要研究方向。
Currently , Secure multiparty computation has become a research focus of modern cryptography and information security .
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本文设计了一组高效的安全多方计算基础协议,解决了一些基本的安全多方计算问题。
This paper designs a set of efficient underlying protocols , they solve some basic SMC problems .
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分布式乘法计算是构造门限密码体制的基本模块,同时也是安全多方计算领域的重要研究内容。
They are basic modules to construct threshold cryptosystems , and also important components of secure multiparty computation .
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它通常与零知识证明系统配合来实现抵抗恶意敌手的安全多方计算协议。
Furthermore , they usually cooperate with zero-knowledge proof systems to achieve secure multi-party protocols against malicious adversaries .
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另外,还需要设计更多简单而高效实用的安全多方计算协议来满足越来越多的实际应用问题。
Besides , more practical and simpler SMC protocols are designed to meet more and more practical application .
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经过几十年的不断研究,安全多方计算已取得丰硕的研究成果。
After decades of continuous research , secure multiparty computation has been greatly developed and achieved fruitful results .