Proceedings of the 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)

Verifiable Multi-Keyword Fuzzy Search over Encrypted Data in the Cloud

Authors
Xue Wei, Hua Zhang
Corresponding Author
Xue Wei
Available Online September 2016.
DOI
https://doi.org/10.2991/amitp-16.2016.54How to use a DOI?
Keywords
Multi-keyword, Fuzzy, Verify, Cloud computing, Search.
Abstract
Cloud computing has been developing rapidly as an emerging technology, it supports the data owner to outsource the data files to the cloud server, then the user can get the ideal results by searching algorithms. Now, the existing searching algorithms cannot support fuzzy multi-keyword searching and result verification very well. So in this paper, we propose a searching algorithm to support fuzzy multi-keyword searching and result verification. Specially, our scheme does not need the dictionary any more, and we use LSH function and bloom filter, together with binary tree to improve the speed of searching. Our experiment has shown that our algorithm has high efficiency for the fuzzy multi-keyword searching in the cloud based on IEEE INFOCOM publications.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-245-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/amitp-16.2016.54How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xue Wei
AU  - Hua Zhang
PY  - 2016/09
DA  - 2016/09
TI  - Verifiable Multi-Keyword Fuzzy Search over Encrypted Data in the Cloud
BT  - 2016 4th International Conference on Advanced Materials and Information Technology Processing (AMITP 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/amitp-16.2016.54
DO  - https://doi.org/10.2991/amitp-16.2016.54
ID  - Wei2016/09
ER  -