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Secure and efficient data‐sharing in clouds
Author(s) -
Zhang Jiang,
Zhang Zhenfeng
Publication year - 2014
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3395
Subject(s) - random oracle , computer science , cloud computing , bottleneck , ciphertext , data sharing , computer security , scheme (mathematics) , implementation , secret sharing , encryption , proxy re encryption , cloud computing security , cloud storage , public key cryptography , cryptography , operating system , medicine , mathematical analysis , alternative medicine , mathematics , pathology , programming language , embedded system
Summary With the rapid development of cloud computing, cloud storage has become a cost‐effective solution for many users with the demand of data storage. However, there are still two main concerns for users with sensitive/private data: (1) Is it secure to store private data in public cloud storages? (2) Is there an efficient way to share private data with other specified users? In the past years, several papers in the literature have used proxy re‐encryption (PRE) to address these two concerns, where the efficiency of the underlying PRE scheme is usually a bottleneck of the overall performance of cloud storages. In this paper, we dedicate to design a secure and practical PRE scheme for cloud‐based data‐sharing. First, we discuss a ‘pitfall’ in the security proof of several existing PREs. Then, we give a general framework for proving the chosen ciphertext attacks (CCA) security of single‐hop unidirectional PRE schemes. Finally, we propose a practical PRE scheme that is proven secure against CCA under the computational Diffie–Hellman problem in the random oracle model. We evaluate the performance of our PRE scheme both in theoretical comparisons with related schemes and in implementations at several security levels. The results indicate that our scheme can be practical in cloud‐based data‐sharing. Copyright © 2014 John Wiley & Sons, Ltd.