P. A. Agbedemnab, Abdul Somed Safianu and, Abdul-Mumin Selanwiah Salifu
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引用次数: 0
摘要
随着云计算的到来,能够抵御网络攻击的加密方案成为密码学研究的新焦点。塔希尔-埃尔-加马尔(Taher El Gamal)基于离散对数问题设计的公钥加密系统已被广泛应用于互联网安全、电子投票系统等多个领域。然而,考虑到云计算中潜在的数据安全威胁,密码学家们正在开发新的、更稳健的密码算法。为此,本文提出了一种基于 Paillier、残差数系统(RNS)和 El Gamal(PRE)的新型稳健同态加密算法,该算法有望高效抵御网络攻击。所提出的方案由三层加密和三层解密过程组成,因此具有很强的鲁棒性。它采用了现有的 RNS 模量集 {2n + 1, 2n, 2n - 1, 2n-1} 。- 1},通过 Paillier 加密过程进行正向转换,然后通过 El Gamal 密码系统加密任何数据。解密过程是这些过程的逆转,从 El Gamal 开始,利用中文余数定理(CRT)进行相同模集的反向转换。仿真结果表明,所提出的方案在鲁棒性方面优于现有的类似方案,因此更加安全,但在类似的比较中,执行时间有所折损。
A NEW ROBUST HOMOMORPHIC ENCRYPTION SCHEME BASED ON PAILLIER, RESIDUE NUMBER SYSTEM AND EL-GAMAL
The new focus of cryptographic research is on encryption schemes that can withstand cyber-attacks, with the arrival of cloud computing. The widely used public key encryption system designed by Taher El Gamal based on the discrete logarithm problem has been used in many sectors such as internet security, E-voting systems, and other applications for a long time. However, considering the potential data security threats in cloud computing, cryptologists are developing new and more robust cryptographic algorithms. To this end, a new robust homomorphic encryption scheme based on Paillier, Residue Number system (RNS), and El Gamal (PRE), is proposed in this paper., which is expected to be highly effective and resistant to cyber-attacks. The proposed scheme is composed a three-layer encryption and a three-layer decryption processes thereby, making it robust. It employs an existing RNS moduli set {2n + 1, 2n, 2n − 1, 2n−1} − 1}, having passed it through the Paillier encryption process for forward conversion and then the El Gamal cryptosystem to encrpyt any data. The decryption process is a reversal of these processes starting from the El Gamal through a reverse conversion with the same moduli set using the Chinese Remainder Theorem (CRT). The simulation results shows that the proposed scheme outperforms similar existing schemes in terms of robustness and therefore, making it more secured which however, trades off with the time of execution in similar comparison.