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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Autors principals:	Farhan Ullah, Shamsher Ullah, Gautam Srivastava, Jerry Chun-Wei Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	KeAi Communications Co., Ltd. 2024-02-01
Col·lecció:	Digital Communications and Networks
Matèries:	Network intrusion detection Transfer learning Features extraction Imbalance data Explainable AI Cybersecurity
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2352864823000640
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