移动云计算中基于轻量级排列的数据隐私保护方法

M. Bahrami, M. Singhal
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引用次数: 52

摘要

云计算范例为虚拟IT基础设施提供了一组与多租户用户共享的资源。当用户将数据外包给云计算系统时,数据隐私是主要挑战之一。云供应商、供应商授权的用户、其他云用户、未经授权的用户或外部恶意实体都可能侵犯隐私。加密是保护和维护云存储数据隐私的解决方案之一。然而,加密方法对于移动设备来说既复杂又昂贵。本文提出了一种基于混沌系统的伪随机排列的移动客户端在一个或多个云上存储数据的轻量级方法。所提出的方法可用于客户端移动设备在云中存储数据,而无需使用云计算资源进行加密以维护用户隐私。我们以JPEG图像格式为例来介绍和评估所提出的方法。实验结果表明,该方法在保护移动用户数据隐私的同时,取得了优于AES和JPEG编码器加密等加密方法的性能。我们针对显示安全级别的建议方法回顾了主要的安全攻击场景。
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A Light-Weight Permutation Based Method for Data Privacy in Mobile Cloud Computing
Cloud computing paradigm provides virtual IT infrastructures with a set of resources that are shared with multi-tenant users. Data Privacy is one of the major challenges when users outsource their data to a cloud computing system. Privacy can be violated by the cloud vendor, vendor's authorized users, other cloud users, unauthorized users, or external malicious entities. Encryption is one of the solutions to protect and maintain privacy of cloud-stored data. However, encryption methods are complex and expensive for mobile devices. In this paper, we propose a new light-weight method for mobile clients to store data on one or multiple clouds by using pseudo-random permutation based on chaos systems. The proposed method can be used in the client mobile devices to store data in the cloud(s) without using cloud computing resources for encryption to maintain user's privacy. We consider JPEG image format as a case study to present and evaluate the proposed method. Our experimental results show that the proposed method achieve superior performance compared to over encryption methods, such as AES and encryption on JPEG encoders while protecting the mobile user data privacy. We review major security attack scenarios against the proposed method that shows the level of security.
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