Enhancing Intrusion Detection Systems for IoT and Cloud Environments Using a Growth Optimizer Algorithm and Conventional Neural Networks

Intrusion detection systems (IDS) play a crucial role in securing networks and identifying malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic optimization algorithms and deep learning techniques have been applied to IDS to improve their accuracy and effi...

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Detalles Bibliográficos
Autores principales: Fatani, Abdulaziz, Dahou, Abdelghani, Abd Elaziz, Mohamed, Al-qaness, Mohammed A. A., Lu, Songfeng, Alfadhli, Saad Ali, Alresheedi, Shayem Saleh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181590/
https://www.ncbi.nlm.nih.gov/pubmed/37177634
http://dx.doi.org/10.3390/s23094430

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