Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

A research on the security of wisdom campus based on geospatial big data

Authors
Haiying Wang
Corresponding Author
Haiying Wang
Available Online May 2018.
DOI
10.2991/amcce-18.2018.70How to use a DOI?
Keywords
Wisdom campus; Geospatial Big Data; DOA
Abstract

There are some difficulties in wisdom campus, such as geospatial big data sharing, function expansion, data management, analysis and mining geospatial big data for a characteristic, especially the problem of data security can't guarantee cause prominent attention increasingly. In this article we put forward a data-oriented software architecture which is designed by the ideology of orienting data and data as kernel, solve the problem of traditional software architecture broaden the campus space data research, develop the application of wisdom campus.

Copyright
© 2018, 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 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
10.2991/amcce-18.2018.70How to use a DOI?
Copyright
© 2018, 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  - Haiying Wang
PY  - 2018/05
DA  - 2018/05
TI  - A research on the security of wisdom campus based on geospatial big data
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 405
EP  - 408
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.70
DO  - 10.2991/amcce-18.2018.70
ID  - Wang2018/05
ER  -