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An Effective Private Data storage and Retrieval System using Secret sharing scheme based on Secure Multi-party Computation

机译:使用secret的有效私有数据存储和检索系统   基于安全多方计算的共享方案

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摘要

Privacy of the outsourced data is one of the major challenge.Insecurity ofthe network environment and untrustworthiness of the service providers areobstacles of making the database as a service.Collection and storage ofpersonally identifiable information is a major privacy concern.On-line publicdatabases and resources pose a significant risk to user privacy, since amalicious database owner may monitor user queries and infer useful informationabout the customer.The challenge in data privacy is to share data withthird-party and at the same time securing the valuable information fromunauthorized access and use by third party.A Private Information Retrieval(PIR)scheme allows a user to query database while hiding the identity of the dataretrieved.The naive solution for confidentiality is to encrypt data beforeoutsourcing.Query execution,key management and statistical inference are majorchallenges in this case.The proposed system suggests a mechanism for securestorage and retrieval of private data using the secret sharing technique.Theidea is to develop a mechanism to store private information with a highlyavailable storage provider which could be accessed from anywhere using querieswhile hiding the actual data values from the storage provider.The privateinformation retrieval system is implemented using Secure Multi-partyComputation(SMC) technique which is based on secret sharing. Multi-partyComputation enable parties to compute some joint function over their privateinputs.The query results are obtained by performing a secure computation on theshares owned by the different servers.
机译:外包数据的隐私是主要挑战之一。网络环境的不安全和服务提供商的不信任是将数据库作为服务的障碍。个人可识别信息的收集和存储是主要的隐私问题。在线公共数据库和资源构成了由于恶意数据库所有者可能会监视用户查询并推断有关客户的有用信息,因此对用户隐私构成重大风险。数据隐私面临的挑战是与第三方共享数据,同时保护有价值的信息免遭未经授权的第三方访问和使用私有信息检索(PIR)方案允许用户在查询数据库的同时隐藏检索到的数据的身份。天真的机密解决方案是在外包之前对数据进行加密。在这种情况下,查询执行,密钥管理和统计推断是主要挑战。系统提出了一种安全存储和检索私有数据的机制想法是开发一种机制,以使用高可用性存储提供程序存储私有信息,该机制可以使用查询从任何地方访问,同时隐藏存储提供者的实际数据值。私有信息检索系统是使用Secure Multi实现的-partyComputation(SMC)技术基于秘密共享。 Multi-partyComputation使各方可以在其私有输入上计算一些联合函数。查询结果是通过对不同服务器所拥有的份额执行安全计算而获得的。

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