Proceedings of the 2016 2nd International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE 2016)

A Generation Method of Attack Graph Based on Evolutionary Computation

Authors
Jiajia Wang
Corresponding Author
Jiajia Wang
Available Online July 2016.
DOI
10.2991/aeece-16.2016.6How to use a DOI?
Keywords
evolutionary computation;attack graph;network security
Abstract

In this paper, the static attack graph is combined with the dynamic evolutionary computation, and a method of attack graph generation based on evolutionary computation is proposed. We extend the traditional attack graph to the dynamic attack graph with time and space changes. According to related attributes of network vulnerabilities and the change of the attack, the attack graph of evolutionary computation is given. This method can be combined with the actual adjustment of attribute weights, further simulation of the attack process, and clear the consequences of the attack. The experimental results show that the proposed framework and method can effectively implement attack simulation, and provide more effective defense.

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 2nd International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE 2016)
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-231-2
ISSN
2352-5401
DOI
10.2991/aeece-16.2016.6How 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  - Jiajia Wang
PY  - 2016/07
DA  - 2016/07
TI  - A Generation Method of Attack Graph Based on Evolutionary Computation
BT  - Proceedings of the 2016 2nd International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE 2016)
PB  - Atlantis Press
SP  - 28
EP  - 31
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeece-16.2016.6
DO  - 10.2991/aeece-16.2016.6
ID  - Wang2016/07
ER  -