为分布式云计算提供属性加密的授权服务委托

S. Aravinth, M. Ramkumar, B. Rajkumar, M. Anitha, S. Elangodi
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引用次数: 2

摘要

云计算已经成为IT行业最具影响力的范例之一。在这种情况下,新的计算技术要求用户将他们有价值的数据委托给云提供商,外包数据的安全和隐私问题越来越多。针对云计算外包数据的访问控制,提出了几种基于属性加密(ABE)的方案。其中大多数[1][2]在实现复杂的访问控制策略时缺乏灵活性。在本文中,允许云服务提供商(csp)(与企业用户不在同一个信任域中)处理机密数据可能会引发潜在的安全和隐私问题。为了对不受信任的csp保持敏感用户数据的机密性,一种自然的方法是应用加密方法,只向授权用户披露解密密钥。而且还提供完整的委托和可伸缩性,从而最好地满足随时随地访问数据、在企业内委托和实现动态用户集的需求。[3][4]HASBE采用多个访问过期时间赋值,比现有方案更有效地处理用户撤销。它可以提供自定义粒度的访问控制和完全委托。最后,我们提出了一种可扩展的撤销方案,将撤销中的大部分计算任务委托给CSP,以有效地实现动态用户集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Empowered service delegation with attribute encryption for distributed cloud computing
Cloud computing has emerged as one of the most influential paradigms in the IT industry. In this, new computing technology requires users to entrust their valuable data to cloud providers, there have been increasing security and privacy concerns on outsourced data. Several schemes employing attribute-based encryption (ABE) have been proposed for access control of outsourced data in cloud computing. The most[1][2] of them suffer from inflexibility in implementing complex access control policies. In this paper, allowing cloud service providers (CSPs), which are not in the same trusted domains as enterprise users, to take care of confidential data, may raise potential security and privacy issues. To keep the sensitive user data confidential against untrusted CSPs, a Natural way is to apply cryptographic approaches, by disclosing Decryption keys only to authorized users. But also provide full delegation, and scalability, so as to best serve the needs of accessing data anytime and anywhere, delegating within enterprises, and achieving a dynamic set of users. [3][4]HASBE employs multiple value assignments for access expiration time to deal with user revocation more efficiently than existing schemes. It can be providefine-grained access control and full delegation. Finally, we propose a scalable revocation scheme by delegating to the CSP most of the computing tasks in revocation, to achieve a dynamic set of users efficiently.
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