University of Wollongong
Browse

Searchable atribute-based mechanism with efficiient data sharing for secure cloud storage

Download (1.83 MB)
journal contribution
posted on 2024-11-16, 09:11 authored by Kaitai Liang, Willy SusiloWilly Susilo
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 attribute-based proxy re-encryption system. When compared to existing systems only supporting either searchable attribute-based functionality or attribute-based proxy re-encryption, our new primitive supports both abilities and provides flexible keyword update service. Specifically, 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.

Funding

Sequential attribute-based encryption: new cryptographic framework, constructions and applications towards cloud security

Australian Research Council

Find out more...

History

Citation

Liang, K. & Susilo, W. (2015). Searchable atribute-based mechanism with efficiient data sharing for secure cloud storage. IEEE Transactions on Information Forensics and Security, 10 (9), 1981-1992.

Journal title

IEEE Transactions on Information Forensics and Security

Volume

10

Issue

9

Pagination

1981-1992

Language

English

RIS ID

100989

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC