Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology

The Key Technology Research on Privacy Protection Based on Big Data

Authors
Xueguo Li, Yinglan Shen
Corresponding Author
Xueguo Li
Available Online August 2016.
DOI
10.2991/icmeit-16.2016.64How to use a DOI?
Keywords
Big data, Big data security, Privacy protection
Abstract

Big data is a research focus in the academic and industrial circles currently, which is affecting people's daily life-style, work habits and thinking modes. But at present, the big data is confronted with many security risks in the collection, storage and use processes, privacy disclosure caused by data bring serious problems to the users, false data will lead to wrong or invalid analysis results of big data. Technical challenges that the realization of security and privacy protection of big data faces are analyzed in this paper, and several key technologies and its latest progress are compiled. This article points out when the big data introducing safety problems, it is the effective means to solve the problem of information security as well.

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 International Conference on Mechatronics Engineering and Information Technology
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
10.2991/icmeit-16.2016.64
ISSN
2352-5401
DOI
10.2991/icmeit-16.2016.64How 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  - Xueguo Li
AU  - Yinglan Shen
PY  - 2016/08
DA  - 2016/08
TI  - The Key Technology Research on Privacy Protection Based on Big Data
BT  - Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology
PB  - Atlantis Press
SP  - 337
EP  - 342
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeit-16.2016.64
DO  - 10.2991/icmeit-16.2016.64
ID  - Li2016/08
ER  -