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Secure Multiparty Computation using Secret Sharing

机译:使用秘密共享安全多百方计算

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摘要

Far reaching a fast increment in number of information and the development of correspondence innovations host empowered community calculations among multi parties. Saving protection of information claimed by gatherings is getting to be pivotal step by step. So security is the fundamental issue in secure multiparty computation. For secure multiparty computation mainly three methodologies are there: Oblivious Transfer, Homomorphic Encryption, and Secret Sharing. Among these three, secret sharing is better in terms of efficiency. Secret sharing is a method to safely share data between numerous gatherings. Secret is isolated into pieces, distribute among gatherings, and recuperated by the approved arrangement of gatherings. Secure multiparty can be executed in two ways: Centralized and Distributed. In a centralized way, risk of single point failure. That is, if central party is misbehaving then client's privacy cannot be kept up. Also, communication and computational cost is high. So, in this paper we proposed a new method in which secure multiparty is executed in a distributed environment and utilizing group mechanism between parties to preserve the user's privacy and this methodology will diminish the communication and computation cost.
机译:远远达到信息数量的快速增量和函授创新的发展举办了多方之间的社区计算。节省收集声称的信息保护正在逐步逐步。因此,安全是安全多方计算中的基本问题。对于安全多方计算,主要存在三种方法:令人沮丧的转移,均匀加密和秘密共享。在这三个中,秘密共享在效率方面更好。秘密共享是一种安全地共享众多聚会之间的数据的方法。秘密被隔离成碎片,分布在聚会中,并通过批准的集会安排恢复。安全多方可以以两种方式执行:集中和分发。以集中方式,单点故障的风险。也就是说,如果中央党行为不端,那么客户的隐私就无法保持不变。此外,通信和计算成本很高。因此,在本文中,我们提出了一种新方法,其中在分布式环境中执行安全多方,并利用各方之间的群体机制来保护用户的隐私,这种方法将减少通信和计算成本。

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