Proceedings of the 2015 International Symposium on Computers & Informatics

Statistical Analysis of The Privilege Level of Vulnerability

Authors
Junmin Chen, Zhihong Tian
Corresponding Author
Junmin Chen
Available Online January 2015.
DOI
10.2991/isci-15.2015.105How to use a DOI?
Keywords
network security; vulnerability
Abstract

This paper gives a brief but comprehensive introduction of condition of attack state and how we analysis it from massive xml file. Multi-attribute-based classification method supports mining privilege level of vulnerability. Owing to associated analysis, it combined directly and indirectly of vulnerability threats which makes evaluation more convinced. Meanwhile, the method offers guidance and assistance to the vulnerability smart identification, multi-level quantitative attributes on the thin side vulnerabilities, and also highlights the impact of the vulnerability of the security attributes of system confidentiality and availability, etc. It is of significant importance for the further detection, description, evaluation of vulnerability.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.105
ISSN
2352-538X
DOI
10.2991/isci-15.2015.105How to use a DOI?
Copyright
© 2015, 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  - Junmin Chen
AU  - Zhihong Tian
PY  - 2015/01
DA  - 2015/01
TI  - Statistical Analysis of The Privilege Level of Vulnerability
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 789
EP  - 796
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.105
DO  - 10.2991/isci-15.2015.105
ID  - Chen2015/01
ER  -