Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems

Generating Labeled Training Datasets Towards Unified Network Intrusion Detection Systems

It is crucial to implement innovative artificial intelligence (AI)-powered network intrusion detection systems (NIDSes) to protect enterprise networks from cyberattacks, which have recently become more diverse and sophisticated. High-quality labeled training datasets are required to train AI-powered...

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Bibliographic Details
Main Authors: Ryosuke Ishibashi, Kohei Miyamoto, Chansu Han, Tao Ban, Takeshi Takahashi, Jun'ichi Takeuchi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Network intrusion detection system
security alert
packet data analysis
security data labeling
public dataset
packet replay
Online Access:https://ieeexplore.ieee.org/document/9777676/

Internet

https://ieeexplore.ieee.org/document/9777676/

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