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: Abd Elaziz, M. (Author), Alfadhli, S.A (Author), Al-qaness, M.A.A (Author), Alresheedi, S.S (Author), Dahou, A. (Author), Fatani, A. (Author), Lu, S. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Cloud environments
CNNs
Computer crime
Convolutional neural networks
cyber security
Cyber security
Cybersecurity
Deep learning
Feature extraction
Growth optimizer
Growth Optimizer
Internet of thing
Internet of things
Internet of Things (IoT)
Intrusion detection
intrusion detection system
Intrusion Detection Systems
Learning methods
Learning systems
Metaheuristic
metaheuristics
Network security
Optimization
Optimization algorithms
Optimizers
System models
Online Access:View Fulltext in Publisher
View in Scopus

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