The problem of secure multiparty computation is fundamental in cryptography, as well as relevant to practical cryptographic applications.
安全计算问题是密码学协议研究的基础问题之一，也与很多重要的密码学应用相关。
Under similar secure conditions, the ECC has the advantages such as: less computation amounts, shorter length of private key, smaller storing and bandwidth.
在相同安全强度条件下，椭圆曲线密码体制具有较短的密钥长度，较少的计算量、存储量和较小的带宽等诸多优点。
The millionaires protocol is an important secure multi-party computation protocol, in which two players compare their secret integers without leakage of further information.
百万富翁协议是一个重要的安全多方计算协议，其中两个参与者比较他们的秘密整数的大小而不泄漏进一步的信息。
Furthermore, the ownership verification is implemented by using secure multiparty computation and zero-knowledge proofs with homomorphic commitments.
使用安全多方计算和同态承诺的零知识证明，实现了所有权验证。
The resulting secure Mathematical Computation Protocol can then provide crypto-graphic authentications, data privacy and integrity.
改进后的网络数学计算框架可有效地提供计算数据的机密性、完整性和用户认证等安全功能。
Secure multi-party computation with its applications is an important direction in current cryptography research field.
安全多方计算及其应用是目前密码学领域的一个重要研究方向。
Distributed multiplication computation is an important part of secure multi-party computation and a basic protocol of threshold cryptography.
分布式乘法计算是安全多方计算中的重要部分，也是设计门限密码体制的基本协议。
The group key agreement has been discussed as a special case of secure multi-party computation.
研究了安全多方计算的一个特例——组密钥协商。
Secure multi-party computation is one of the most important areas in modern cryptography.
安全多方计算是现代密码学领域重要的研究内容之一。
They are basic modules to construct threshold cryptosystems, and also important components of secure multiparty computation.
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。
This paper proposes an ownership proofs scheme for digital works based on proactive verifiable secret sharing and secure multiparty computation.
本文采用现实的多方安全计算模式，结合数据干扰技术，提出了一种保持隐私的异常检测算法。
It is important to construct fair exchange scheme, publicly verifiable secret sharing and cheater-resistant secure multi-party computation.
这在公平交换、防欺骗的秘密分享和安全多方计算中有重要应用。
For secure multi-party computation in distributed networks, it is essential to realize multi-party participation of secure cooperative computation.
在分布式网络环境下，实现多方参与的安全协同计算是安全多方计算的核心研究问题。
The research focuses on how to accomplish the secure cooperative computation among multi-party without the participation of the third party.
在不需要第三方参与且保证安全的前提下，如何完成多方的协作运算是其研究的核心。
Mental poker is a secure multi-party computation solution in specific scene. In recent years, the studies on mental poker protocol in academe are mainly based on Trusted Third party (TTP).
智力扑克是一种特定场景的安全多方计算，近些年来，学术界对智力扑克协议的研究基本都是基于可信第三方的。
Mental poker is a secure multi-party computation solution in specific scene. In recent years, the studies on mental poker protocol in academe are mainly based on Trusted Third party (TTP).
智力扑克是一种特定场景的安全多方计算，近些年来，学术界对智力扑克协议的研究基本都是基于可信第三方的。
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