Research on network security risk modeling and quantitative analysis theory

Xiao Lin Zhao; Yi Ning Yang; Xu Hui Li; Feng Jiang; Ji Zhang

doi:10.1145/3180496.3180614

Research on network security risk modeling and quantitative analysis theory

Xiao Lin Zhao, Yi Ning Yang, Xu Hui Li, Feng Jiang, Ji Zhang

School of Computer Science and Technology

Beijing Institute of Technology

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

Abstract

This paper realizes the network security assessment model based on hidden Markov. Firstly, the principle and basic problem of Hidden Markov Model are analyzed. Select the Snort software alarm as the input, convert the alarm into the quantification value of the network security risk model, and quantify the network security in real time, then design and implement the whole Hidden Markov Model.

Original language	English
Title of host publication	Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017
Editors	Srikanta Patnaik
Publisher	Association for Computing Machinery
Pages	99-104
Number of pages	6
ISBN (Electronic)	9781450353441
DOIs	https://doi.org/10.1145/3180496.3180614
Publication status	Published - 20 Oct 2017
Event	2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017 - Shenzhen, China Duration: 20 Oct 2017 → 22 Oct 2017

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017
Country/Territory	China
City	Shenzhen
Period	20/10/17 → 22/10/17

Keywords

Classification algorithm
Hidden Markov Model
Learning algorithm
Network security

Access to Document

10.1145/3180496.3180614

Cite this

Zhao, X. L., Yang, Y. N., Li, X. H., Jiang, F., & Zhang, J. (2017). Research on network security risk modeling and quantitative analysis theory. In S. Patnaik (Ed.), Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017 (pp. 99-104). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3180496.3180614

Zhao, Xiao Lin ; Yang, Yi Ning ; Li, Xu Hui et al. / Research on network security risk modeling and quantitative analysis theory. Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017. editor / Srikanta Patnaik. Association for Computing Machinery, 2017. pp. 99-104 (ACM International Conference Proceeding Series).

@inproceedings{ca7de332328b4d80bb2f4f7d5025ab1f,

title = "Research on network security risk modeling and quantitative analysis theory",

abstract = "This paper realizes the network security assessment model based on hidden Markov. Firstly, the principle and basic problem of Hidden Markov Model are analyzed. Select the Snort software alarm as the input, convert the alarm into the quantification value of the network security risk model, and quantify the network security in real time, then design and implement the whole Hidden Markov Model.",

keywords = "Classification algorithm, Hidden Markov Model, Learning algorithm, Network security",

author = "Zhao, {Xiao Lin} and Yang, {Yi Ning} and Li, {Xu Hui} and Feng Jiang and Ji Zhang",

note = "Publisher Copyright: {\textcopyright}2017 Association for Computing Machinery.; 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017 ; Conference date: 20-10-2017 Through 22-10-2017",

year = "2017",

month = oct,

day = "20",

doi = "10.1145/3180496.3180614",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "99--104",

editor = "Srikanta Patnaik",

booktitle = "Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017",

}

Zhao, XL, Yang, YN, Li, XH, Jiang, F & Zhang, J 2017, Research on network security risk modeling and quantitative analysis theory. in S Patnaik (ed.), Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 99-104, 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017, Shenzhen, China, 20/10/17. https://doi.org/10.1145/3180496.3180614

Research on network security risk modeling and quantitative analysis theory. / Zhao, Xiao Lin; Yang, Yi Ning; Li, Xu Hui et al.
Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017. ed. / Srikanta Patnaik. Association for Computing Machinery, 2017. p. 99-104 (ACM International Conference Proceeding Series).

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

TY - GEN

T1 - Research on network security risk modeling and quantitative analysis theory

AU - Zhao, Xiao Lin

AU - Yang, Yi Ning

AU - Li, Xu Hui

AU - Jiang, Feng

AU - Zhang, Ji

PY - 2017/10/20

Y1 - 2017/10/20

N2 - This paper realizes the network security assessment model based on hidden Markov. Firstly, the principle and basic problem of Hidden Markov Model are analyzed. Select the Snort software alarm as the input, convert the alarm into the quantification value of the network security risk model, and quantify the network security in real time, then design and implement the whole Hidden Markov Model.

AB - This paper realizes the network security assessment model based on hidden Markov. Firstly, the principle and basic problem of Hidden Markov Model are analyzed. Select the Snort software alarm as the input, convert the alarm into the quantification value of the network security risk model, and quantify the network security in real time, then design and implement the whole Hidden Markov Model.

KW - Classification algorithm

KW - Hidden Markov Model

KW - Learning algorithm

KW - Network security

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U2 - 10.1145/3180496.3180614

DO - 10.1145/3180496.3180614

M3 - Conference contribution

AN - SCOPUS:85046645326

T3 - ACM International Conference Proceeding Series

SP - 99

EP - 104

BT - Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017

A2 - Patnaik, Srikanta

PB - Association for Computing Machinery

T2 - 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017

Y2 - 20 October 2017 through 22 October 2017

ER -

Zhao XL, Yang YN, Li XH, Jiang F, Zhang J. Research on network security risk modeling and quantitative analysis theory. In Patnaik S, editor, Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, WCNA 2017. Association for Computing Machinery. 2017. p. 99-104. (ACM International Conference Proceeding Series). doi: 10.1145/3180496.3180614

Research on network security risk modeling and quantitative analysis theory

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Keywords

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