Efficient and secure data storage operations for mobile cloud computing
Efficient and secure data storage operations for mobile cloud computing
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发表时间：
2012-10
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通讯作者：
Zhibin Zhou;Dijiang Huang
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作者：
Zhibin Zhou;Dijiang Huang
在移动的云计算系统中，轻量级无线通信设备将云服务扩展到感测域中。常见的移动的云安全数据服务是从传感设备查询数据。可以从多个请求者收集数据，这可能会迅速耗尽传感设备的电量。因此，需要一种有效的数据访问控制模型。为此，我们提出了一个全面的移动的云计算安全数据查询框架。我们的解决方案重点关注以下两个研究方向：首先，我们提出了一种新型的隐私保护密码策略基于属性的加密（PP-CP-ABE）来保护传感数据。使用PP-CP-ABE，轻量级设备可以安全地将繁重的加密和解密操作外包给云服务提供商，而不会泄露数据内容。其次，我们提出了一个基于属性的数据存储（ABDS）系统作为一个加密的基于组的访问控制机制。我们的性能评估证明了所提出的解决方案在计算，通信和存储方面的安全强度和效率。
In a mobile cloud computing system, lightweight wireless communication devices extend cloud services into the sensing domain. A common mobile cloud secure data service is to inquiry the data from sensing devices. The data can be collected from multiple requesters, which may drain out the power of sensing devices quickly. Thus, an efficient data access control model is desired. To this end, we present a comprehensive security data inquiry framework for mobile cloud computing. Our solution focuses on the following two research directions: First, we present a novel Privacy Preserving Cipher Policy Attribute-Based Encryption (PP-CP-ABE) to protect sensing data. Using PP-CP-ABE, light-weight devices can securely outsource heavy encryption and decryption operations to cloud service providers, without revealing the data content. Second, we propose an Attribute Based Data Storage (ABDS) system as a cryptographic group-based access control mechanism. Our performance assessments demonstrate the security strength and efficiency of the presented solution in terms of computation, communication, and storage.