Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Multi-keyword Ranked Search with Fine-grained Access Control over Encrypted Cloud Data

Authors
Jingyu Lei, Jiao Mo
Corresponding Author
Jingyu Lei
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.92How to use a DOI?
Keywords
multi-keyword search, access control, privacy-preserving, cloud computing
Abstract

With the development of cloud computing, people have become accustomed to using these cheap and convenient services provided by the cloud server for data storage and processing. For protecting data privacy from leaking information to unauthorized users, probably including the cloud service provider (CSP), the data must be stored in an encrypted form before outsourcing, which leads to some traditional data services being unavailable, for example, data search. Therefore, to design a privacy-preserving data search scheme is an extremely challenging problem. Meanwhile in order to keep data from using (and even searching) by unauthorized users, it also needs to make sure that the search scheme could achieve fine-grained access control on data users, according to the access policies made by the date owner (DO). In this paper, considering both the control of user's access authority and the privacy protection in data search, we have designed a multi-keyword searchable scheme with access control over encrypted cloud data. By using the technology of inverted indexes, we can rapidly filter out data files that users own authority to access, while methods of coordinate matching and secure inner product computation have also been introduced to realize the privacy-preserving multi-keyword search. Through analysis of privacy and efficiency, we prove that our scheme achieves the requirements of privacy protection under two different adversary models, and that it has relatively high efficiency from the perspective of time complexity.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/icmmct-16.2016.92
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.92How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jingyu Lei
AU  - Jiao Mo
PY  - 2016/03
DA  - 2016/03
TI  - Multi-keyword Ranked Search with Fine-grained Access Control over Encrypted Cloud Data
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 453
EP  - 462
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.92
DO  - 10.2991/icmmct-16.2016.92
ID  - Lei2016/03
ER  -