Attack Graph Generation with Machine Learning for Network Security

Attack Graph Generation with Machine Learning for Network Security

Recently, with the discovery of various security threats, diversification of hacking attacks, and changes in the network environment such as the Internet of Things, security threats on the network are increasing. Attack graph is being actively studied to cope with the recent increase in cyber threat...

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Bibliographic Details
Main Authors: Kijong Koo, Daesung Moon, Jun-Ho Huh, Se-Hoon Jung, Hansung Lee
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Electronics
Subjects:
network security
attack graph learning
attack graph evaluation
multi-output learning
deep learning
artificial intelligence
Online Access:https://www.mdpi.com/2079-9292/11/9/1332

Internet

https://www.mdpi.com/2079-9292/11/9/1332

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