IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method

IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method

The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self-protective tools against various cyber-attacks. However, IoT IDS systems face significant challenges due to functional...

Full description

Bibliographic Details
Main Authors:	Khalid Albulayhi, Qasem Abu Al-Haija, Suliman A. Alsuhibany, Ananth A. Jillepalli, Mohammad Ashrafuzzaman, Frederick T. Sheldon
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Series:	Applied Sciences
Subjects:	cybersecurity anomaly detection accuracy feature selection Internet of Things (IoT) intrusion detection system and machine learning
Online Access:	https://www.mdpi.com/2076-3417/12/10/5015

Similar Items

IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses
by: Khalid Albulayhi, et al.
Published: (2021-09-01)

ELBA-IoT: An Ensemble Learning Model for Botnet Attack Detection in IoT Networks
by: Qasem Abu Al-Haija, et al.
Published: (2022-03-01)

Enhanced Anomaly Detection System for IoT Based on Improved Dynamic SBPSO
by: Asima Sarwar, et al.
Published: (2022-06-01)

IDAC: Federated Learning-Based Intrusion Detection Using Autonomously Extracted Anomalies in IoT
by: Takahiro Ohtani, et al.
Published: (2024-05-01)

Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers
by: Laraib Sana, et al.
Published: (2024-01-01)

Intrusion Detection for IoT Environments Through Side-Channel and Machine Learning Techniques
by: Alejandro Dominguez Campos, et al.
Published: (2024-01-01)

Cutting-Edge Intrusion Detection in IoT Networks: A Focus on Ensemble Models
by: Najm Us Sama, et al.
Published: (2025-01-01)

An Intrusion Detection and Classification System for IoT Traffic with Improved Data Engineering
by: Abdulaziz A. Alsulami, et al.
Published: (2022-12-01)

Maximizing intrusion detection efficiency for IoT networks using extreme learning machine
by: Shahad Altamimi, et al.
Published: (2024-07-01)

Attack-Aware IoT Network Traffic Routing Leveraging Ensemble Learning
by: Qasem Abu Al-Haija, et al.
Published: (2021-12-01)

Transfer-Learning-Based Intrusion Detection Framework in IoT Networks
by: Eva Rodríguez, et al.
Published: (2022-07-01)

Multi-Class Intrusion Detection Based on Transformer for IoT Networks Using CIC-IoT-2023 Dataset
by: Shu-Ming Tseng, et al.
Published: (2024-08-01)

Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet
by: Majda Wazzan, et al.
Published: (2022-05-01)

Making a Real-Time IoT Network Intrusion-Detection System (INIDS) Using a Realistic BoT–IoT Dataset with Multiple Machine-Learning Classifiers
by: Jawad Ashraf, et al.
Published: (2025-02-01)

Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
by: Shubhkirti Sharma, et al.
Published: (2024-01-01)

Towards an Explainable Universal Feature Set for IoT Intrusion Detection
by: Mohammed M. Alani, et al.
Published: (2022-07-01)

Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations
by: Phuc Hao do, et al.
Published: (2025-01-01)

Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review
by: Tamara Al-Shurbaji, et al.
Published: (2025-01-01)

Ensemble learning based anomaly detection for IoT cybersecurity via Bayesian hyperparameters sensitivity analysis
by: Tin Lai, et al.
Published: (2024-06-01)

SEHIDS: Self Evolving Host-Based Intrusion Detection System for IoT Networks
by: Mohammed Baz
Published: (2022-08-01)

Network Intrusion Detection: An IoT and Non IoT-Related Survey
by: Sulyman Age Abdulkareem, et al.
Published: (2024-01-01)

IoT intrusion detection method for unbalanced samples
by: ANTONG P, et al.
Published: (2023-02-01)

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning
by: Jing Li, et al.
Published: (2024-02-01)

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
by: Andrew Churcher, et al.
Published: (2021-01-01)

MU-IoT: A New IoT Intrusion Dataset for Network and Application Layer Attacks Analysis
by: Urikhimbam Boby Clinton, et al.
Published: (2024-01-01)

An efficient intrusion detection system for IoT security using CNN decision forest
by: Kamal Bella, et al.
Published: (2024-09-01)

Customised Intrusion Detection for an Industrial IoT Heterogeneous Network Based on Machine Learning Algorithms Called FTL-CID
by: Nasr Abosata, et al.
Published: (2022-12-01)

Preventing MQTT Vulnerabilities Using IoT-Enabled Intrusion Detection System
by: Muhammad Husnain, et al.
Published: (2022-01-01)

Dragon_Pi: IoT Side-Channel Power Data Intrusion Detection Dataset and Unsupervised Convolutional Autoencoder for Intrusion Detection
by: Dominic Lightbody, et al.
Published: (2024-03-01)

Enhancing IoT Security: A Deep Learning Approach with Feedforward Neural Network for Detecting Cyber Attacks in IoT
by: Arjun Kumar Bose Arnob, et al.
Published: (2024-09-01)

Intrusion Detection in IoT Using Deep Residual Networks with Attention Mechanisms
by: Bo Cui, et al.
Published: (2024-07-01)

Feature extraction for machine learning-based intrusion detection in IoT networks
by: Mohanad Sarhan, et al.
Published: (2024-02-01)

Realguard: A Lightweight Network Intrusion Detection System for IoT Gateways
by: Xuan-Ha Nguyen, et al.
Published: (2022-01-01)

Enhancing IoT Network Security Using Feature Selection for Intrusion Detection Systems
by: Muhannad Almohaimeed, et al.
Published: (2024-12-01)

Green Intrusion Detection Systems: A Comprehensive Review and Directions
by: Swapnoneel Roy, et al.
Published: (2024-08-01)

Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models
by: Ayoob Almotairi, et al.
Published: (2024-12-01)

Intrusion Detection System for IoT Using Logical Analysis of Data and Information Gain Ratio
by: Sneha Chauhan, et al.
Published: (2022-12-01)

Review on Approaches of Federated Modeling in Anomaly-Based Intrusion Detection for IoT Devices
by: Umar Audi Isma'ila, et al.
Published: (2024-01-01)

Realtime Feature Engineering for Anomaly Detection in IoT Based MQTT Networks
by: Imran, et al.
Published: (2024-01-01)

Deep Complex Gated Recurrent Networks-Based IoT Network Intrusion Detection Systems
by: Engy El-Shafeiy, et al.
Published: (2024-09-01)