Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Comprehensive Evaluation for Electric Power Information Security Based on Set Pair Analysis

Authors
Shouming Ma
Corresponding Author
Shouming Ma
Available Online January 2016.
DOI
10.2991/icaita-16.2016.32How to use a DOI?
Keywords
electric power information security; set pair analysis; analytic hierarchy process; comprehensive evaluation
Abstract

the safe and stable operation of the information system has become the key content of the information works in the electric power industry. In order to establish a unified enterprise-level security evaluation system, a new comprehensive evaluation method based on set pair analysis (SPA) was proposed utilizing its advantages of solving the uncertainty. The case results show that this method is an available, efficient solution to the electric power information security evaluation problem.

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 Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
10.2991/icaita-16.2016.32
ISSN
1951-6851
DOI
10.2991/icaita-16.2016.32How 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  - Shouming Ma
PY  - 2016/01
DA  - 2016/01
TI  - Comprehensive Evaluation for Electric Power Information Security Based on Set Pair Analysis
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 128
EP  - 130
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.32
DO  - 10.2991/icaita-16.2016.32
ID  - Ma2016/01
ER  -