Energy-efficient deep learning-based intrusion detection system for edge computing: a novel DNN-KDQ model

Abstract The proliferation of the Internet of Things (IoT) and edge computing technologies has expanded the attack surface for cybercriminals, emphasizing the need for robust and efficient cybersecurity measures. Intrusion detection systems (IDS) are essential defenses; however, deploying traditiona...

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Principais autores:	Hafiz Gulfam Ahmad Umar, Iqra Yasmeen, Muhammad Aoun, Tehseen Mazhar, Muhammad Amir Khan, Ines Hilali Jaghdam, Habib Hamam
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2025-07-01
coleção:	Journal of Cloud Computing: Advances, Systems and Applications
Assuntos:	DNN-KDQ model Intrusion detection system (IDS) Deep learning models Energy efficiency Cybersecurity Edge computing
Acesso em linha:	https://doi.org/10.1186/s13677-025-00762-9
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