A stacked ensemble approach to detect cyber attacks based on feature selection techniques

The exponential growth of data and increased reliance on interconnected systems have heightened the need for robust network security. Cyber-Attack Detection Systems (CADS) are essential for identifying and mitigating threats through network traffic analysis. However, the effectiveness of CADS is hig...

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Autors principals:	Wahida Ferdose Urmi, Mohammed Nasir Uddin, Md Ashraf Uddin, Md. Alamin Talukder, Md. Rahat Hasan, Souvik Paul, Moumita Chanda, John Ayoade, Ansam Khraisat, Rakib Hossen, Faisal Imran
Format:	Artigo
Idioma:	Inglês
Publicat:	KeAi Communications Co., Ltd. 2024-01-01
Col·lecció:	International Journal of Cognitive Computing in Engineering
Matèries:	Network-based intrusion detection system Host-based intrusion detection system Web attacks Stack ensemble model Binary classification Multiclass classification
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2666307424000263
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