An Approach for Internal Network Security Metric Based on Attack Probability

Joint Authors

Shan, Chun
Jiang, Benfu
Xue, Jingfeng
Guan, Fang
Xiao, Na

Source

Security and Communication Networks

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-04-24

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Information Technology and Computer Science

Abstract EN

A network security metric may provide quantifiable evidence to assist security practitioners in securing computer networks.

However, research on security metrics based on attack graph is not applicable to the characteristics of internal attack; therefore we propose an internal network security metric method based on attack probability.

Our approach has the following benefits: it provides the method of attack graph simplification with monitoring event node which could solve the attack graph exponential growth with the network size, while undermining the disguise of internal attacks and improving the efficiency of the entire method; the method of attack probability calculation based on simplified attack graph can simplify the complexity of internal attacks and improve the accuracy of the approach.

American Psychological Association (APA)

Shan, Chun& Jiang, Benfu& Xue, Jingfeng& Guan, Fang& Xiao, Na. 2018. An Approach for Internal Network Security Metric Based on Attack Probability. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1214087

Modern Language Association (MLA)

Shan, Chun…[et al.]. An Approach for Internal Network Security Metric Based on Attack Probability. Security and Communication Networks No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1214087

American Medical Association (AMA)

Shan, Chun& Jiang, Benfu& Xue, Jingfeng& Guan, Fang& Xiao, Na. An Approach for Internal Network Security Metric Based on Attack Probability. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1214087

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1214087