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Secure Deduplication for Cloud Storage Using Interactive Message-Locked Encryption with Convergent Encryption, To Reduce Storage Space

机译:使用交互式消息锁定加密和融合加密来保护云存储的安全重复数据删除,以减少存储空间

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ABSTRACT The digital data stored in the cloud requires much space due to copy of the same data. It can be reduced by dedupilcation, eliminating the copy of the repeated data in the cloud provided services. Identifying common checkoff data both files storing them only once. Deduplication can yield cost savings by increasing the utility of a given amount of storage. Unfortunately, deduplication has many security problems so more than one encryption is required to authenticate data. We have developed a solution that provides both data security and space efficiency in server storage and distributed content checksum storage systems. Here we adopt a method called interactive Message-Locked Encryption with Convergent Encryption (iMLEwCE). In this iMLEwCE the data is encrypted firstly then the cipher text is again encrypted. Block-level deduplication is used to reduce the storage space. Encryption keys are generated in a consistent configuration of data dependency from the chunk data. The identical chunks will always encrypt to the same cipher text. The keys configuration cannot be deduced by the hacker from the encrypted chunk data. So the information is protected from cloud server. This paper focuses on reducing the storage space and providing security in online cloud deduplication.
机译:摘要由于相同数据的副本,存储在云中的数字数据需要大量空间。可以通过重复数据删除来减少重复数据,从而消除了云提供的服务中重复数据的副本。识别两个文件的通用校验数据仅将它们存储一次。重复数据删除可以通过增加给定存储量的利用率来节省成本。不幸的是,重复数据删除存在许多安全性问题,因此,需要多种加密来验证数据。我们开发了一种解决方案,可在服务器存储和分布式内容校验和存储系统中同时提供数据安全性和空间效率。在这里,我们采用一种称为“具有收敛加密的交互式消息锁定加密”的方法(iMLEwCE)。在此iMLEwCE中,首先对数据进行加密,然后再次对密文进行加密。块级重复数据删除用于减少存储空间。加密密钥是从块数据以一致的数据依赖性配置生成的。相同的块将始终加密为相同的密文。黑客无法从加密的组块数据中推断出密钥配置。因此,可以保护信息免受云服务器的攻击。本文着重于减少存储空间并在在线云重复数据删除中提供安全性。

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