An Approach for Internal Network Security Metric Based on Attack Probability. (24th April 2018)
- Record Type:
- Journal Article
- Title:
- An Approach for Internal Network Security Metric Based on Attack Probability. (24th April 2018)
- Main Title:
- An Approach for Internal Network Security Metric Based on Attack Probability
- Authors:
- Shan, Chun
Jiang, Benfu
Xue, Jingfeng
Guan, Fang
Xiao, Na - Other Names:
- Yan Zheng Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Security and communication networks. Volume 2018(2018)
- Journal:
- Security and communication networks
- Issue:
- Volume 2018(2018)
- Issue Display:
- Volume 2018, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 2018
- Issue Sort Value:
- 2018-2018-2018-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-04-24
- Subjects:
- Computer networks -- Security measures -- Periodicals
Computer security -- Periodicals
Cryptography -- Periodicals
005.805 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1939-0122 ↗
https://www.hindawi.com/journals/scn/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1155/2018/3652170 ↗
- Languages:
- English
- ISSNs:
- 1939-0114
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10314.xml