A method of network security situation assessment based on hidden markov model

Shuang Xiang; Yanli Lv; Chunhe Xia; Yuanlong Li; Zhihuan Wang

doi:10.1007/978-981-10-0356-1_65

A method of network security situation assessment based on hidden markov model

Shuang Xiang^*
, Yanli Lv
, Chunhe Xia
, Yuanlong Li
, Zhihuan Wang

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University
Information Center of Ministry of Science and Technology of the People’s Republic of China
Yucheng Group

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In the network security situation assessment based on hidden Markov model, the establish of state transition matrix is the key to the accuracy of the impact assessment. The state transition matrix is often given based on experience. However, it often ignores the current status of the network. In this paper, based on the game process between the security incidents and protect measures, we improve the efficiency of the state transition matrix by considering the defense efficiency. Comparative experiments show the probability of the network state generated by improved algorithm is more reasonable in network security situation assessment.

Original language	English
Title of host publication	Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers
Editors	Kangshun Li, Jin Li, Yong Liu, Aniello Castiglione
Publisher	Springer Verlag
Pages	631-639
Number of pages	9
ISBN (Print)	9789811003554
DOIs	https://doi.org/10.1007/978-981-10-0356-1_65
State	Published - 2016
Event	7th International Symposium on Computational Intelligence and Intelligent Systems, ISICA 2015 - Guangzhou, China Duration: 21 Nov 2015 → 22 Nov 2015

Publication series

Name	Communications in Computer and Information Science
Volume	575
ISSN (Print)	1865-0929

Conference

Conference	7th International Symposium on Computational Intelligence and Intelligent Systems, ISICA 2015
Country/Territory	China
City	Guangzhou
Period	21/11/15 → 22/11/15

Keywords

Defense efficiency
Game matrix
Network security situation assessment

Access to Document

10.1007/978-981-10-0356-1_65

Cite this

Xiang, S., Lv, Y., Xia, C., Li, Y., & Wang, Z. (2016). A method of network security situation assessment based on hidden markov model. In K. Li, J. Li, Y. Liu, & A. Castiglione (Eds.), Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers (pp. 631-639). (Communications in Computer and Information Science; Vol. 575). Springer Verlag. https://doi.org/10.1007/978-981-10-0356-1_65

Xiang, Shuang ; Lv, Yanli ; Xia, Chunhe et al. / A method of network security situation assessment based on hidden markov model. Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers. editor / Kangshun Li ; Jin Li ; Yong Liu ; Aniello Castiglione. Springer Verlag, 2016. pp. 631-639 (Communications in Computer and Information Science).

@inproceedings{65eedaf340af41d4aea20683cf9be80a,

title = "A method of network security situation assessment based on hidden markov model",

abstract = "In the network security situation assessment based on hidden Markov model, the establish of state transition matrix is the key to the accuracy of the impact assessment. The state transition matrix is often given based on experience. However, it often ignores the current status of the network. In this paper, based on the game process between the security incidents and protect measures, we improve the efficiency of the state transition matrix by considering the defense efficiency. Comparative experiments show the probability of the network state generated by improved algorithm is more reasonable in network security situation assessment.",

keywords = "Defense efficiency, Game matrix, Network security situation assessment",

author = "Shuang Xiang and Yanli Lv and Chunhe Xia and Yuanlong Li and Zhihuan Wang",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 7th International Symposium on Computational Intelligence and Intelligent Systems, ISICA 2015 ; Conference date: 21-11-2015 Through 22-11-2015",

year = "2016",

doi = "10.1007/978-981-10-0356-1\_65",

language = "英语",

isbn = "9789811003554",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "631--639",

editor = "Kangshun Li and Jin Li and Yong Liu and Aniello Castiglione",

booktitle = "Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers",

address = "德国",

}

Xiang, S, Lv, Y, Xia, C, Li, Y & Wang, Z 2016, A method of network security situation assessment based on hidden markov model. in K Li, J Li, Y Liu & A Castiglione (eds), Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers. Communications in Computer and Information Science, vol. 575, Springer Verlag, pp. 631-639, 7th International Symposium on Computational Intelligence and Intelligent Systems, ISICA 2015, Guangzhou, China, 21/11/15. https://doi.org/10.1007/978-981-10-0356-1_65

A method of network security situation assessment based on hidden markov model. / Xiang, Shuang; Lv, Yanli; Xia, Chunhe et al.
Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers. ed. / Kangshun Li; Jin Li; Yong Liu; Aniello Castiglione. Springer Verlag, 2016. p. 631-639 (Communications in Computer and Information Science; Vol. 575).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A method of network security situation assessment based on hidden markov model

AU - Xiang, Shuang

AU - Lv, Yanli

AU - Xia, Chunhe

AU - Li, Yuanlong

AU - Wang, Zhihuan

N1 - Publisher Copyright: © Springer Science+Business Media Singapore 2016.

PY - 2016

Y1 - 2016

N2 - In the network security situation assessment based on hidden Markov model, the establish of state transition matrix is the key to the accuracy of the impact assessment. The state transition matrix is often given based on experience. However, it often ignores the current status of the network. In this paper, based on the game process between the security incidents and protect measures, we improve the efficiency of the state transition matrix by considering the defense efficiency. Comparative experiments show the probability of the network state generated by improved algorithm is more reasonable in network security situation assessment.

AB - In the network security situation assessment based on hidden Markov model, the establish of state transition matrix is the key to the accuracy of the impact assessment. The state transition matrix is often given based on experience. However, it often ignores the current status of the network. In this paper, based on the game process between the security incidents and protect measures, we improve the efficiency of the state transition matrix by considering the defense efficiency. Comparative experiments show the probability of the network state generated by improved algorithm is more reasonable in network security situation assessment.

KW - Defense efficiency

KW - Game matrix

KW - Network security situation assessment

UR - https://www.scopus.com/pages/publications/84958019619

U2 - 10.1007/978-981-10-0356-1_65

DO - 10.1007/978-981-10-0356-1_65

M3 - 会议稿件

AN - SCOPUS:84958019619

SN - 9789811003554

T3 - Communications in Computer and Information Science

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EP - 639

BT - Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers

A2 - Li, Kangshun

A2 - Li, Jin

A2 - Liu, Yong

A2 - Castiglione, Aniello

PB - Springer Verlag

T2 - 7th International Symposium on Computational Intelligence and Intelligent Systems, ISICA 2015

Y2 - 21 November 2015 through 22 November 2015

ER -

Xiang S, Lv Y, Xia C, Li Y, Wang Z. A method of network security situation assessment based on hidden markov model. In Li K, Li J, Liu Y, Castiglione A, editors, Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Revised Selected Papers. Springer Verlag. 2016. p. 631-639. (Communications in Computer and Information Science). doi: 10.1007/978-981-10-0356-1_65

A method of network security situation assessment based on hidden markov model

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