A Secure Deduplication Technique for Data in the Cloud

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Abstract

The tremendous growth of digital data in cloud storage systems is a critical issue, as many duplicate data in storage systems cause extra load. Cloud Service Providers (CSPs) often employ Data Deduplication techniques to eliminate redundant data and store only one copy of data to save storage space and reduce transmission costs. Data Deduplication is mostly effective when multiple clients outsource the same data to cloud storage, but it raises security and ownership issues. This paper proposes a secure, Proof of Ownership (PoW)-based Data Deduplication scheme that has a low communication overhead and ensures that only valid cloud clients can download and decrypt ciphertext from cloud storage. The Advanced Encryption Standard (AES) is used as the encryption algorithm in the proposed scheme. It utilizes two modes of AES encryption, namely, Cipher Block Chaining (CBC) and Galois Counter Mode (GCM), with single-threading and multi-threading to upload and download ciphertext between the client and the server to measure the effect of upload and download times. We present a new approach for PoW to reduce communication overhead. PoW enables owners of the same data to prove to the cloud server that they own the data in a robust way. The comparison between CBC and GCM is implemented in a Java environment with two scenarios: single-threading and multi-threading. The simulation results show that AES-GCM with multi-threading is better during the uploading and downloading times
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云数据的安全重复数据删除技术
云存储系统中数字数据的巨大增长是一个关键问题,因为存储系统中的许多重复数据会导致额外的负载。云服务提供商(csp)通常采用重复数据删除技术来消除冗余数据,只存储一份数据,以节省存储空间和降低传输成本。当多个客户端将相同的数据外包到云存储时,重复数据删除最有效,但它会引发安全性和所有权问题。本文提出了一种安全的、基于所有权证明(PoW)的重复数据删除方案,该方案具有较低的通信开销,并确保只有有效的云客户端才能从云存储下载和解密密文。该方案采用高级加密标准AES (Advanced Encryption Standard)作为加密算法。它采用Cipher Block chains (CBC)和伽罗瓦计数器模式(GCM)两种AES加密模式,采用单线程和多线程方式在客户端和服务器之间上传和下载密文,以衡量上传和下载次数的效果。我们提出了一种新的PoW方法来减少通信开销。PoW使相同数据的所有者能够以一种可靠的方式向云服务器证明他们拥有数据。CBC和GCM之间的比较是在Java环境中实现的,有两种场景:单线程和多线程。仿真结果表明,多线程的AES-GCM在上传和下载时间上都有较好的性能
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