End-to-End Network Intrusion Detection Based on Contrastive Learning

End-to-End Network Intrusion Detection Based on Contrastive Learning

The network intrusion detection system (NIDS) plays a crucial role as a security measure in addressing the increasing number of network threats. The majority of current research relies on feature-ready datasets that heavily depend on feature engineering. Conversely, the increasing complexity of netw...

Full description

Bibliographic Details
Main Authors: Longlong Li, Yuliang Lu, Guozheng Yang, Xuehu Yan
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
network intrusion detection
contrastive learning
CNN
GRU
end-to-end
Online Access:https://www.mdpi.com/1424-8220/24/7/2122

Internet

https://www.mdpi.com/1424-8220/24/7/2122

Similar Items