Secure cloud computing algorithm using homomorphic encryption and multi-party computation

Debasis Das
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引用次数: 21

Abstract

Cloud computing is a developing technology that is yet unclear to many security issues. Data in the untrusted clouds can be encrypted using encryption algorithm. Randomizing this data provides more security which can be achieved by padding concept in the cloud. In this paper, the user's data is encrypted using padding scheme, called Optimal Asymmetric Encryption Padding (OAEP) together with Hybrid Encryption algorithm that is based on RSA (i.e., HE-RSA), in order to allow multiple parties to compute a function on their inputs while preserving Integrity and Confidentiality. The Homomorphic Encryption(HE) is performed on the encrypted data without decrypting it in computationally powerful clouds and the Secure Multi-Party Computation (SMPC) can be used in the cloud to ensure security and privacy of the users. In this paper, we have proposed a scheme that integrates the multi-party computation with homomorphic encryption to allow calculations of encrypted data without decryption. The cryptographic techniques used in our cloud model are described and the overheads are compared with Homomorphic Encryption and Multi-Party Computation.
采用同态加密和多方计算的安全云计算算法
云计算是一种发展中的技术,对于许多安全问题来说,它还不清楚。不可信云中的数据可以使用加密算法进行加密。随机化这些数据提供了更多的安全性,这可以通过在云中填充概念来实现。在本文中,用户数据使用称为最优非对称加密填充(OAEP)的填充方案和基于RSA(即HE-RSA)的混合加密算法进行加密,以便允许多方在保持完整性和机密性的同时计算其输入的函数。在计算能力强大的云中,对加密后的数据进行同态加密(Homomorphic Encryption, HE)而不进行解密,在云中使用安全多方计算(Secure Multi-Party Computation, SMPC)来保证用户的安全和隐私。本文提出了一种将多方计算与同态加密相结合的方案,使加密数据的计算不需要解密。描述了云模型中使用的加密技术,并将其开销与同态加密和多方计算进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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