IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic

A network intrusion detection system is critical for cyber security against illegitimate attacks. In terms of feature perspectives, network traffic may include a variety of elements such as attack reference, attack type, a sub-category of attack, host information, malicious scripts, etc. In terms of...

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Bibliographic Details
Main Authors: Farhan Ullah, Shamsher Ullah, Gautam Srivastava, Jerry Chun-Wei Lin
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-02-01
Series:Digital Communications and Networks
Subjects:
Network intrusion detection
Transfer learning
Features extraction
Imbalance data
Explainable AI
Cybersecurity
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864823000640

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http://www.sciencedirect.com/science/article/pii/S2352864823000640

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