A Method of Network Security Risk Measurement Based on Improved D-S Evidence Theory

Xiaolin Zhao; Mingzhe Pei; Meijing Wu; Yaoyuan Liang; Hui Peng

doi:10.1088/1742-6596/1626/1/012035

A Method of Network Security Risk Measurement Based on Improved D-S Evidence Theory

Xiaolin Zhao^*, Mingzhe Pei, Meijing Wu, Yaoyuan Liang, Hui Peng

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper applies Dempster-Shafer (D-S) evidence theory to network security measurement and assessment, which improved the accuracy of network security measurement results. The main contents include improving the composition rules to solve the paradox, establishing a security measurement model, and proving the rationality of the improved method by three Distributed Denial of Service (DDoS) attacks experiment. The results show that this method is more accurate in detecting traffic attacks.

Original language	English
Article number	012035
Journal	Journal of Physics: Conference Series
Volume	1626
Issue number	1
DOIs	https://doi.org/10.1088/1742-6596/1626/1/012035
Publication status	Published - 6 Nov 2020
Event	2020 4th International Conference on Electrical, Automation and Mechanical Engineering, EAME 2020 - Beijing, China Duration: 21 Jun 2020 → 22 Jun 2020

Keywords

D-S evidence theory
Evidence source
Security measurement model
Synthesis rules

Access to Document

10.1088/1742-6596/1626/1/012035

Cite this

@article{ace80189ba4e439589e4d50d2a52ce35,

title = "A Method of Network Security Risk Measurement Based on Improved D-S Evidence Theory",

abstract = "This paper applies Dempster-Shafer (D-S) evidence theory to network security measurement and assessment, which improved the accuracy of network security measurement results. The main contents include improving the composition rules to solve the paradox, establishing a security measurement model, and proving the rationality of the improved method by three Distributed Denial of Service (DDoS) attacks experiment. The results show that this method is more accurate in detecting traffic attacks.",

keywords = "D-S evidence theory, Evidence source, Security measurement model, Synthesis rules",

author = "Xiaolin Zhao and Mingzhe Pei and Meijing Wu and Yaoyuan Liang and Hui Peng",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; 2020 4th International Conference on Electrical, Automation and Mechanical Engineering, EAME 2020 ; Conference date: 21-06-2020 Through 22-06-2020",

year = "2020",

month = nov,

day = "6",

doi = "10.1088/1742-6596/1626/1/012035",

language = "English",

volume = "1626",

journal = "Journal of Physics: Conference Series",

issn = "1742-6588",

publisher = "IOP Publishing Ltd.",

number = "1",

}

TY - JOUR

T1 - A Method of Network Security Risk Measurement Based on Improved D-S Evidence Theory

AU - Zhao, Xiaolin

AU - Pei, Mingzhe

AU - Wu, Meijing

AU - Liang, Yaoyuan

AU - Peng, Hui

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2020/11/6

Y1 - 2020/11/6

N2 - This paper applies Dempster-Shafer (D-S) evidence theory to network security measurement and assessment, which improved the accuracy of network security measurement results. The main contents include improving the composition rules to solve the paradox, establishing a security measurement model, and proving the rationality of the improved method by three Distributed Denial of Service (DDoS) attacks experiment. The results show that this method is more accurate in detecting traffic attacks.

AB - This paper applies Dempster-Shafer (D-S) evidence theory to network security measurement and assessment, which improved the accuracy of network security measurement results. The main contents include improving the composition rules to solve the paradox, establishing a security measurement model, and proving the rationality of the improved method by three Distributed Denial of Service (DDoS) attacks experiment. The results show that this method is more accurate in detecting traffic attacks.

KW - D-S evidence theory

KW - Evidence source

KW - Security measurement model

KW - Synthesis rules

UR - http://www.scopus.com/inward/record.url?scp=85096490427&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/1626/1/012035

DO - 10.1088/1742-6596/1626/1/012035

M3 - Conference article

AN - SCOPUS:85096490427

SN - 1742-6588

VL - 1626

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 1

M1 - 012035

T2 - 2020 4th International Conference on Electrical, Automation and Mechanical Engineering, EAME 2020

Y2 - 21 June 2020 through 22 June 2020

ER -

A Method of Network Security Risk Measurement Based on Improved D-S Evidence Theory

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this