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首页> 外文期刊>International Journal of Approximate Reasoning >AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage
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AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage

机译:AC-RRNS:云存储的防共谋数据共享方案

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摘要

Cloud security issues are important factors for data storage and processing. Apart from the existing security and reliability problems of traditional distributed computing, there are new security and reliability problems. They include attacks on a virtual machine, attacks on the synchronization keys, and so on. According to the assessment of international experts in the field of cloud security, there are risks of cloud collusion under uncertain conditions. To mitigate this type of uncertainty and reduce harms it can cause, we propose AC-RRNS algorithm based on modified threshold Asmuth-Bloom and Mignotte secret sharing schemes. We prove that the algorithm satisfies the formal definition of computational security. If the adversary coalition knows the secret shares, but does not know the secret key, the probability to obtain the secret is less than 1/(2(l.(k-1))(2(l-k)-1)). The probability is less than 1/2((l-1))) with unknown secret shares and known secret key, and 1/2(l.k) with unknown secret key. Its complexity is equal to brute-force method. We demonstrate that the proposed scheme ensures security under several types of attacks. We propose approaches for selection of parameters for AC-RRNS secret sharing scheme to optimize the system behavior and data redundancy of encryption. (C) 2018 Elsevier Inc. All rights reserved.
机译:云安全问题是数据存储和处理的重要因素。除了传统的分布式计算存在的安全性和可靠性问题之外,还有新的安全性和可靠性问题。它们包括对虚拟机的攻击,对同步密钥的攻击等等。根据云安全领域国际专家的评估,不确定条件下存在云合谋的风险。为了减轻这种不确定性并减少可能造成的危害,我们提出了基于改进的阈值Asmuth-Bloom和Mignotte秘密共享方案的AC-RRNS算法。我们证明了该算法满足计算安全性的形式定义。如果对手联盟知道秘密份额,但不知道秘密密钥,则获得秘密的可能性小于1 /(2(l。(k-1))(2(l-k)-1))。对于未知的秘密份额和已知的密钥,该概率小于1/2((l-1))),对于未知的密钥,该概率小于1/2(l.k)。它的复杂性等于蛮力法。我们证明了所提出的方案可确保在几种攻击类型下的安全性。我们提出了AC-RRNS秘密共享方案的参数选择方法,以优化系统行为和加密的数据冗余。 (C)2018 Elsevier Inc.保留所有权利。

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