An adversarial environment reinforcement learning-driven intrusion detection algorithm for Internet of Things

Abstract The increasing prevalence of Internet of Things (IoT) systems has made them attractive targets for malicious actors. To address the evolving threats and the growing complexity of detection, there is a critical need to search for and develop new algorithms that are fast and robust in detecti...

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Autors principals:	Chahira Mahjoub, Monia Hamdi, Reem Ibrahim Alkanhel, Safa Mohamed, Ridha Ejbali
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2024-05-01
Col·lecció:	EURASIP Journal on Wireless Communications and Networking
Matèries:	Intrusion detection Internet of Things Reinforcement learning Adversarial learning
Accés en línia:	https://doi.org/10.1186/s13638-024-02348-6
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An adversarial environment reinforcement learning-driven intrusion detection algorithm for Internet of Things

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