基于活动数据包和基于代理的安全多方计算的云环境中高度安全的自我保护数据方案

Akram Y. Sarhan, S. Carr
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引用次数: 22

摘要

云计算中的数据保护是许多企业面临的关键问题。我们提出了一种解决方案,可以保护外包给云的敏感数据在其整个生命周期中——无论是在云中还是在云之外(例如,在向云传输或从云传输的过程中)。我们的解决方案,被称为使用安全多方计算(ADB-SMC)的活动数据包,使用:(i)活动数据包(adb) -用于自我保护数据;(ii)密文策略基于属性的加密——用于细粒度访问控制;(iii)阈值rsa——用于安全密钥管理。我们描述了ADB- smc的组件和设计,并提供了创建ADB以将数据外包到云的伪代码。我们实现了该解决方案的原型,并将其开销与称为具有可信第三方的活动包(ABTTP)的方法的开销进行了比较。性能测试结果表明,ADBSMC的执行时间开销是可以接受的。
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A Highly-Secure Self-Protection Data Scheme in Clouds Using Active Data Bundles and Agent-Based Secure Multi-party Computation
Protection of data in cloud computing is a critical problem for many enterprises. We propose a solution that protects sensitive data outsourced to a cloud throughout their entire life cycle—both in the cloud as well as outside of the cloud (e.g., during transmission to or from the cloud). Our solution, known as Active Data Bundles using Secure Multi-Party Computation (ADB-SMC), uses: (i) active data bundles (ADBs)—for self-protecting data; (ii) ciphertext-policy attribute-based encryption—for fine-grained access control; and, (iii) threshold RSA—for secure key management. We describe components and design of ADB-SMC and present the pseudocode for creating ADB to outsource data to the cloud. We implemented a prototype of the solution and compared its overhead with the overhead of the approach known as Active Bundles with Trusted Third Party (ABTTP). The results of performance tests show that the execution time overhead for ADBSMC is acceptable.
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