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Experimental analysis and comparative study of secure data outsourcing schemes in cloud

机译:云中安全数据外包方案的实验分析与比较研究

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摘要

When customers are transferring their private data to any third party, then there is much responsibility of both security and compliance. The outsourcing process is computationally secure if it is performed without unveiling to the other external agent or cloud, either the original data or the actual solution to the computations. Secure multiparty computation computes a certain function without revealing their private secret information. Homomorphic encryption is another solution that can deal with this situation. In homomorphic encryption, ciphertext (data in encrypted format) should be sent to the cloud, the computations are made on the ciphertext, and the result of this computation is a ciphertext form itself. If the result of the computation is decrypted, then the correct plaintext result must be obtained. In this paper, we summarised our proposed secure outsourcing computing protocols. As a cloud application, our proposed protocols encrypt data by different users and further are transformed to cloud. By utilising our protocols, we performed experimental analysis on virtual cloud to examine the novelty in terms of computational and communication complexity. Our implementations involve both CPU and GPU-based simulation results. We improved our adopted procedure to achieve better speed-up and security.
机译:当客户将其私人数据传输给任何第三方时,安全性和合规性都将承担很多责任。如果在不向其他外部代理或云揭露原始数据或计算的实际解决方案的情况下执行外包过程,则该过程在计算上是安全的。安全的多方计算可在不泄露其私人机密信息的情况下计算特定功能。同态加密是可以解决这种情况的另一种解决方案。在同态加密中,应将密文(加密格式的数据)发送到云,在密文上进行计算,并且该计算的结果本身就是密文形式。如果计算结果被解密,则必须获得正确的明文结果。在本文中,我们总结了我们提出的安全外包计算协议。作为云应用程序,我们提出的协议由不同的用户加密数据,然后进一步转换为云。通过使用我们的协议,我们在虚拟云上进行了实验分析,以检查计算和通信复杂性方面的新颖性。我们的实现涉及基于CPU和GPU的仿真结果。我们改进了采用的程序,以实现更好的加速和安全性。

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