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

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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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:International Journal of Cognitive Computing in Engineering
Subjects:
Network-based intrusion detection system
Host-based intrusion detection system
Web attacks
Stack ensemble model
Binary classification
Multiclass classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2666307424000263
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