Hybrid Convolutional Neural Network-Based Intrusion Detection System for Secure IoT Networks

Hybrid Convolutional Neural Network-Based Intrusion Detection System for Secure IoT Networks

Security vulnerabilities are a growing concern due to the increasing prevalence of Internet of Things (IoT) devices. This paper presents a hybrid Convolutional neural network (CNN)-based intrusion detection system (IDS) for IoT networks that detects threats. The research tackles the shortcomings of...

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Bibliographic Details
Main Authors: Sami Qawasmeh, Ahmad Habboush, Bassam Elzaghmouri, Qasem Kharma, Da'ad Albalawneh
Format: Article
Language:English
Published: Tikrit University 2025-08-01
Series:Tikrit Journal of Engineering Sciences
Subjects:
Intrusion detection system
Hybrid convolutional neural network
Attack detection
Machine learning
Deep learning
IoT
Online Access:https://tj-es.com/ojs/index.php/tjes/article/view/2526
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