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Efficient public integrity checking for cloud data sharing with multi-user modification

机译:通过多用户修改进行云数据共享的有效公共完整性检查

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In past years a body of data integrity checking techniques have been proposed for securing cloud data services. Most of these works assume that only the data owner can modify cloud-stored data. Recently a few attempts started considering more realistic scenarios by allowing multiple cloud users to modify data with integrity assurance. However, these attempts are still far from practical due to the tremendous computational cost on cloud users. Moreover, collusion between misbehaving cloud servers and revoked users is not considered. This paper proposes a novel data integrity checking scheme characterized by multi-user modification, collusion resistance and a constant computational cost of integrity checking for cloud users, thanks to our novel design of polynomial-based authentication tags and proxy tag update techniques. Our scheme also supports public checking and efficient user revocation and is provably secure. Numerical analysis and extensive experimental results show the efficiency and scalability of our proposed scheme.
机译:在过去的几年中,已经提出了一组数据完整性检查技术来保护云数据服务的安全。这些工作大多数都假设只有数据所有者才能修改云存储的数据。最近,通过允许多个云用户使用完整性保证来修改数据,一些尝试开始考虑更现实的情况。但是,由于云用户的巨大计算成本,这些尝试仍不可行。此外,不考虑行为不当的云服务器与被撤消的用户之间的串通。由于我们基于多项式的认证标签和代理标签更新技术的新颖设计,本文提出了一种新颖的数据完整性检查方案,该方案具有多用户修改,抗串通和对云用户进行完整性检查的计算成本不变的特点。我们的方案还支持公共检查和有效的用户撤销,并且证明是安全的。数值分析和广泛的实验结果表明了该方案的有效性和可扩展性。

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