Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Study on Security Policy of Cloud Service based on Risk Characteristic Analysis

Authors
Qing-cong Zhao
Corresponding Author
Qing-cong Zhao
Available Online July 2017.
DOI
10.2991/iccse-17.2017.3How to use a DOI?
Keywords
Risk characteristic analysis, Cloud service, Security policy
Abstract

Each enterprise has its own unique situation, therefore it is unable to adopt a completely unified security control measures. Thus enterprise should have risk characteristic analysis to determine the appropriate information security attributes as well as the control measures. Different enterprises will adopt different cloud services, and they will put different types and levels of data into cloud services, so different users need different security policies of cloud services.Enterprises need a scientific and rational way to help themselves to determine which security controls are necessary. This paper proposed a method based on risk characteristic analysis to determine the information security control measures needed by the specific enterprise.

Copyright
© 2017, 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 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.3
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.3How to use a DOI?
Copyright
© 2017, 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  - Qing-cong Zhao
PY  - 2017/07
DA  - 2017/07
TI  - Study on Security Policy of Cloud Service based on Risk Characteristic Analysis
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 14
EP  - 20
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.3
DO  - 10.2991/iccse-17.2017.3
ID  - Zhao2017/07
ER  -