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作 者:LI Xinyan MOU Huajian LU Dianjun
机构地区:[1]School of Mathematics and Statistics, Yangtze Normal University [2]College of Computer Engineering, Yangtze Normal University [3]School of Mathematics and Statistics, Qinghai Normal University
出 处:《Wuhan University Journal of Natural Sciences》2019年第3期218-222,共5页武汉大学学报(自然科学英文版)
基 金:Supported by the Research Program of Chongqing Education Commission(JK15012027,JK1601225);the Chongqing Research Program of Basic Research and Frontier Technology(cstc2017jcyjBX0008);the Graduate Student Research and Innovation Foundation of Chongqing(CYB17026);the Basic Applied Research Program of Qinghai Province(2019-ZJ-7099)
摘 要:In order to guarantee the user's privacy and the integrity of data when retrieving ciphertext in an untrusted cloud environment, an improved ciphertext retrieval scheme was proposed based on full homomorphic encryption. This scheme can encrypt two bits one time and improve the efficiency of retrieval. Moreover, it has small key space and reduces the storage space. Meanwhile, the homomorphic property of this scheme was proved in detail. The experimental results and comparisons show that the proposed scheme is characterized by increased security, high efficiency and low cost.In order to guarantee the user's privacy and the integrity of data when retrieving ciphertext in an untrusted cloud environment, an improved ciphertext retrieval scheme was proposed based on full homomorphic encryption. This scheme can encrypt two bits one time and improve the efficiency of retrieval. Moreover, it has small key space and reduces the storage space. Meanwhile, the homomorphic property of this scheme was proved in detail. The experimental results and comparisons show that the proposed scheme is characterized by increased security, high efficiency and low cost.
关 键 词:fully homomorphic ENCRYPTION PUBLIC key size the GREATEST common divisor(GCD) problem CIPHERTEXT RETRIEVAL
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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