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

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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Bibliographic Details
Main Authors: Abdulaziz Fatani, Abdelghani Dahou, Mohamed Abd Elaziz, Mohammed A. A. Al-qaness, Songfeng Lu, Saad Ali Alfadhli, Shayem Saleh Alresheedi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
metaheuristics
cyber security
intrusion detection system
Internet of Things (IoT)
Growth Optimizer
CNNs
Online Access:https://www.mdpi.com/1424-8220/23/9/4430

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https://www.mdpi.com/1424-8220/23/9/4430

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