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Searchable Attribute-Based Mechanism With Efficient Data Sharing for Secure Cloud Storage

Liang, Kaitai and Susilo, Willy (2015) Searchable Attribute-Based Mechanism With Efficient Data Sharing for Secure Cloud Storage IEEE Transactions on Information Forensics and Security, 10 (9). pp. 1981-1992.

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To date, the growth of electronic personal data leads to a trend that data owners prefer to remotely outsource their data to clouds for the enjoyment of the high-quality retrieval and storage service without worrying the burden of local data management and maintenance. However, secure share and search for the outsourced data is a formidable task, which may easily incur the leakage of sensitive personal information. Efficient data sharing and searching with security is of critical importance. This paper, for the first time, proposes a searchable attributebased proxy reencryption system. When compared with the existing systems only supporting either searchable attribute-based functionality or attribute-based proxy reencryption, our new primitive supports both abilities and provides flexible keyword update service. In particular, the system enables a data owner to efficiently share his data to a specified group of users matching a sharing policy and meanwhile, the data will maintain its searchable property but also the corresponding search keyword(s) can be updated after the data sharing. The new mechanism is applicable to many real-world applications, such as electronic health record systems. It is also proved chosen ciphertext secure in the random oracle model.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Susilo, Willy
Date : 21 May 2015
DOI : 10.1109/TIFS.2015.2442215
Copyright Disclaimer : 1556-6013 © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See for more information.
Uncontrolled Keywords : Searchable attribute-based encryption; keyword update; encrypted data sharing.
Depositing User : Jane Hindle
Date Deposited : 31 Oct 2017 13:39
Last Modified : 16 Jan 2019 19:03

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