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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181590/
https://www.ncbi.nlm.nih.gov/pubmed/37177634
http://dx.doi.org/10.3390/s23094430

Ejemplares similares