Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

An approach to evaluate network security risk based on attack graph

Authors
Xiaoyun Hu, Yang Yu, Chunhe Xia
Corresponding Author
Xiaoyun Hu
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.240How to use a DOI?
Keywords
risk evaluation, attack graph, vulnerability analysis
Abstract

Facing with plethora network security events, network security risk evaluation is an effective method to prevent and respond to these security problems. Ignoring possible changes maybe occurred, traditional network security risk evaluation only emphasizes the preventive management in advance. This article presents an approach to explore the probability of network attributes to be breached accurately in Bayesian Attack Graph. In particular, our approach extends BAG with observation node that can be used to imply and adjustment compromising probability timely and dynamically.

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 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.240How 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  - Xiaoyun Hu
AU  - Yang Yu
AU  - Chunhe Xia
PY  - 2016/12
DA  - 2016/12
TI  - An approach to evaluate network security risk based on attack graph
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 1235
EP  - 1238
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.240
DO  - https://doi.org/10.2991/iceeecs-16.2016.240
ID  - Hu2016/12
ER  -