不看我,只过滤我:使用Shamir的秘密共享和POB号码系统进行安全的基于云的过滤

Priyanka Singh, Nishant Agarwal, B. Raman
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引用次数: 18

摘要

云计算模式吸引个人以及组织全球四周由于其多个设施强大的资源,存储中心,计算能力和成本有效的解决方案。然而,分布式云数据中心对数据隐私构成安全漏洞的威胁,存在较高的风险。提出了一种基于Shamir秘密共享和排列有序二进制数系统的云域图像数据安全共享方案。它将图像信息分发到多个随机共享中,这些共享不会泄露任何信息,因此可以安全地存储在分布式云数据中心上。可以在云服务器本身的加密域中应用不同的映像操作。这种方法减少了对安全的威胁,这是利用基于云的架构的设施的主要障碍。只有拥有密钥的真实所有者才能从随机共享中恢复原始图像信息。通过对纯域和加密域的对比结果,验证了在云上加密域中使用各种图像滤波操作(如运动模糊、非锐化掩蔽、维纳、高斯等)的效率。
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Don't see me, just filter me: towards secure cloud based filtering using Shamir's secret sharing and POB number system
Cloud computing paradigm is attracting individuals as well as organizations all round the globe due to its multiple facilities of powerful resources, storage hubs, computational power and cost effective solutions. However, distributed cloud data centers pose the threat of security breaches to the privacy of the data and pose high risks. A secured image data sharing scheme over cloud domain based on the Shamir's secret sharing and permutation ordered binary number system has been proposed here. It distributes the image information into multiple random shares that reveal no information and thus can be stored securely over the distributed cloud data centers. Different image operations could be applied in the encrypted domain over the cloud servers itself. This approach reduces the threat to security which is a major hindrance in utilizing the facilities of the cloud based architecture. Only the authentic owner possessing the secret keys could restore back the original image information from the random shares. Comparative results for both the plain domain as well as the encrypted domain have been presented to validate the efficiency of using the various image filtering operations like motion blur, unsharp masking, weiner, gaussian etc in the encrypted domain over cloud.
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