文章基本信息

标题：Public Auditing and Self-Destructing Approach for Shared Data on Cloud
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作者：Amir Ali ; Prof Savitri Patil
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：6
页码：5367-5371
出版社：TechScience Publications
摘要：In past years, the rapid development of cloud storage services makes it easier than ever for cloud users to share data with each other. To ensure users’ confidence of the integrity of their shared data on cloud, a number of techniques have been proposed for data integrity auditing with focuses on various practical features, secure data destructing, public integrity auditing etc. Since it is not feasible to implement full lifecycle privacy security, access control becomes a challenging task, especially when we share sensitive data on cloud servers. In order to tackle this problem, this paper proposes a key-policy attributebased encryption with time-specified attributes (KP-TSABE), a novel secure data self-destructing scheme in cloud computing. Additionally this paper introduces public integrity auditing scheme for cloud data sharing services that checks the integrity of user’s sensitive data being stored on the cloud. In the KP-TSABE scheme, every ciphertext is labelled with a time interval while private key is associated with a time instant. The ciphertext can only be decrypted if both the time instant is in the allowed time interval and the attributes associated with the ciphertext satisfy the key’s access structure.
关键词：Sensitive data; assured deletion; fine-grained access;control; privacy preserving; public auditing