Research on Information Security Risk Evaluation of Cloud Storage System Based on BP-GA

DOI

10.2991/icadme-17.2017.22How to use a DOI?

Keywords

Cloud storage, information security risk evaluation, BP neural network, genetic algorithm

Abstract

At present, it is difficult to make a good security evaluation of cloud storage system because of qualitative, quantitative, linear and nonlinear factors, so in this paper, the artificial neural network technology and genetic algorithm(BP-GA) is introduced to evaluate the information risk degree of cloud storage. The mathematical evaluation model of cloud storage risk degree is set up, with illustration of its application process by samples. The results show that the BP-GA method put forward in this paper not only has enough engineering accuracy, but also has the advantage of good convenience and applicability.

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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TY  - CONF
AU  - Yanfeng Kong
AU  - Lianxing Jia
AU  - Jiang Zhang
PY  - 2017/07
DA  - 2017/07
TI  - Research on Information Security Risk Evaluation of Cloud Storage System Based on BP-GA
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 115
EP  - 118
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.22
DO  - 10.2991/icadme-17.2017.22
ID  - Kong2017/07
ER  -