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首页> 外文期刊>Knowledge and Data Engineering, IEEE Transactions on >CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework
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CloudKeyBank: Privacy and Owner Authorization Enforced Key Management Framework

机译:CloudKeyBank:隐私和所有者授权强制密钥管理框架

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摘要

Explosive growth in the number of passwords for web based applications and encryption keys for outsourced data storage well exceeds the management limit of users. Therefore, outsourcing keys (including passwords and data encryption keys) to professional password managers (honest-but-curious service providers) is attracting the attention of many users. However, existing solutions in a traditional data outsourcing scenario are unable to simultaneously meet the following three security requirements for keys outsourcing: 1) Confidentiality and privacy of keys; 2) Search privacy on identity attributes tied to keys; 3) Owner controllable authorization over his/her shared keys. In this paper, we propose CloudKeyBank, the first unified key management framework that addresses all the three goals above. Under our framework, the key owner can perform privacy and controllable authorization enforced encryption with minimum information leakage. To implement CloudKeyBank efficiently, we propose a new cryptographic primitive named Searchable Conditional Proxy Re-Encryption (SC-PRE) which combines the techniques of Hidden Vector Encryption (HVE) and Proxy Re-Encryption (PRE) seamlessly, and propose a concrete SC-PRE scheme based on existing HVE and PRE schemes. Our experimental results and security analysis show the efficiency and security goals are well achieved.
机译:基于Web的应用程序的密码和用于外包数据存储的加密密钥的爆炸式增长大大超过了用户的管理限制。因此,将密钥(包括密码和数据加密密钥)外包给专业的密码管理器(诚实但好奇的服务提供商)正在吸引许多用户的注意。但是,传统数据外包方案中的现有解决方案无法同时满足密钥外包的以下三个安全要求:1)密钥的机密性和保密性; 2)搜索与密钥相关的身份属性的隐私; 3)所有者对其共享密钥具有可控制的授权。在本文中,我们提出了CloudKeyBank,这是第一个解决上述三个目标的统一密钥管理框架。在我们的框架下,密钥所有者可以执行隐私保护和可控的授权强制加密,同时将信息泄漏降至最低。为了有效地实施CloudKeyBank,我们提出了一种新的名为“可搜索条件代理重新加密(SC-PRE)”的加密原语,该原语无缝结合了隐藏矢量加密(HVE)和代理重新加密(PRE)的技术,并提出了具体的SC-基于现有HVE和PRE方案的PRE方案。我们的实验结果和安全性分析表明,可以很好地实现效率和安全性目标。

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