Network intrusion detection based on multi-domain data and ensemble-bidirectional LSTM

Network intrusion detection based on multi-domain data and ensemble-bidirectional LSTM

Abstract Different types of network traffic can be treated as data originating from different domains with the same objectives of problem-solving. Previous work utilizing multi-domain machine learning has primarily assumed that data in different domains have the same distribution, which fails to eff...

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Bibliographic Details
Main Authors: Xiaoning Wang, Jia Liu, Chunjiong Zhang
Format: Article
Language:English
Published: SpringerOpen 2023-06-01
Series:EURASIP Journal on Information Security
Subjects:
Anomaly detection
Attention mechanism
Bidirectional LSTM
Multi-domain learning
Online Access:https://doi.org/10.1186/s13635-023-00139-y

Internet

https://doi.org/10.1186/s13635-023-00139-y

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