Enhancing IoT network security through deep learning-powered Intrusion Detection System
Authors:
- Shahid Allah BakhshSBShahid Allah Bakhsh
- Muhammad Almas KhanMKMuhammad Almas Khan
- Fawad AhmedFAFawad Ahmed
- Mohammed S. AlshehriMAMohammed S. Alshehri
- Hisham AliHAHisham Ali
- Jawad AhmadJAJawad Ahmad
Top Cited Papers
Open Access
- 12 September 2023
- journal article
- research article
- Published by Elsevier in Internet of Things
- Vol. 24
Abstract
No abstract availableKeywords
Funding Information
- Najran University (NU/RG/SERC/12/3)
This publication has 38 references indexed in Scilit:
- Deep recurrent neural network for IoT intrusion detection systemSimulation Modelling Practice and Theory, 2020
- A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPUElectronics, 2020
- A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalanceInformation Sciences, 2019
- Internet of Things (IoT) Cybersecurity Research: A Review of Current Research TopicsIEEE Internet of Things Journal, 2018
- IoT Elements, Layered Architectures and Security Issues: A Comprehensive SurveySensors, 2018
- Industrial Internet of Things: Challenges, Opportunities, and DirectionsIEEE Transactions on Industrial Informatics, 2018
- A random forest guided tourTEST, 2016
- Characterization of Encrypted and VPN Traffic using Time-related Features2016
- A generalized feedforward neural network architecture for classification and regressionNeural Networks, 2003
- Random Neural Networks with Negative and Positive Signals and Product Form SolutionNeural Computation, 1989