Attacks Detection in Internet of Things Using Machine Learning Techniques: A Review

Attacks Detection in Internet of Things Using Machine Learning Techniques: A Review

The proliferation of IoT devices across sectors such as home automation, business, healthcare, and transportation has led to the generation of vast amounts of sensitive data. This widespread adoption has introduced significant security challenges and vulnerabilities. This study aims to analyze and...

Full description

Saved in:

Bibliographic Details
Main Authors:	Amer Dawood Saleem, Amer Abdulmajeed Abdulrahman
Format:	Article
Language:	English
Published:	Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2024-12-01
Series:	Journal of Applied Engineering and Technological Science
Subjects:	IoT Devices Machine Learning Security Attacks Deep Learning Intrusion Detection Systems
Online Access:	https://journal.yrpipku.com/index.php/jaets/article/view/4878
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Research on intrusion detection method for edge networks based on federated reinforcement learning
by: DING Kai, et al.
Published: (2024-12-01)

An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data
by: Arjun Kumar Bose Arnob, et al.
Published: (2025-02-01)

Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
by: Fatima Alwahedi, et al.
Published: (2024-01-01)

A Security Design for the Detecting of Buffer Overflow Attacks in IoT Device
by: Bin Xu, et al.
Published: (2018-01-01)

Federated Learning for Decentralized DDoS Attack Detection in IoT Networks
by: Yaser Alhasawi, et al.
Published: (2024-01-01)

A Review about Internet of Things (IoT) integration with Cloud Computing with a Limelight on Security
by: Umm e Kulsoom, et al.
Published: (2024-01-01)

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

Deep learning technology: enabling safe communication via the internet of things
by: Ramiz Salama, et al.
Published: (2025-02-01)

A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security
by: Kashi Sai Prasad, et al.
Published: (2025-01-01)

Deep learning for cyber threat detection in IoT networks: A review
by: Alyazia Aldhaheri, et al.
Published: (2024-01-01)

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

A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks
by: Nouman Imtiaz, et al.
Published: (2025-01-01)

CYBER SECURITY ANALYSIS OF IOT DEVICES TRANSMITTING DATA IN THE THINGSPEAK PLATFORM CLOUD
by: DRAGOS-ALEXANDRU ANDRIOAIA
Published: (2022-10-01)

Securing Cloud-Based Internet of Things: Challenges and Mitigations
by: Nivedita Singh, et al.
Published: (2024-12-01)

Big Data-Driven Deep Learning Ensembler for DDoS Attack Detection
by: Abdulrahman A. Alshdadi, et al.
Published: (2024-12-01)

Vulnerability and Attack Repository for IoT: Addressing Challenges and Opportunities in Internet of Things Vulnerability Databases
by: Anna Felkner, et al.
Published: (2024-11-01)

Hybrid Deep Learning Techniques for Improved Anomaly Detection in IoT Environments
by: Hanan Abbas Mohammad
Published: (2024-12-01)

Adversarial Attack Detection Approach for Intrusion Detection Systems
by: Elif Degirmenci, et al.
Published: (2024-01-01)

A Smart Framework to Detect Threats and Protect Data of IoT Based on Machine Learning
by: Ahmad M. Almasabi, et al.
Published: (2024-01-01)

Detecting Unusual Repetitive Patterns of Behavior Indicative of a Loop-Based Attack in IoT
by: Asmaa Munshi
Published: (2024-11-01)

usfAD based effective unknown attack detection focused IDS framework
by: Md. Ashraf Uddin, et al.
Published: (2024-11-01)

An Adversarial Attack on ML-Based IoT Malware Detection Using Binary Diversification Techniques
by: Maina Bernard Mwangi, et al.
Published: (2024-01-01)

Model pruning techniques in the Internet of things: state of the art, methods and perspectives
by: ZHAO Junhui, et al.
Published: (2024-12-01)

Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices
by: Kishor Kumar Reddy C., et al.
Published: (2024-11-01)

Machine learning based intrusion detection framework for detecting security attacks in internet of things
by: V. Kantharaju, et al.
Published: (2024-12-01)

A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles
by: Pradeep Kumar Tiwari, et al.
Published: (2025-01-01)

Holistic Survey on Security in IoT Application Layer: Attacks, Protocols, and Applications
by: N. Sharmila Kumari, et al.
Published: (2024-01-01)

An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion
by: J. Jasmine Shirley, et al.
Published: (2025-01-01)

Overview of anomaly detection techniques for industrial Internet of things
by: Haili SUN, et al.
Published: (2022-03-01)

Research of authentication techniques for the Internet of things
by: Hongqiang YAN, et al.
Published: (2020-07-01)

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

Long-Range Wide Area Network Intrusion Detection at the Edge
by: Gonçalo Esteves, et al.
Published: (2024-12-01)

AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat Mitigation
by: Kavitha Dhanushkodi, et al.
Published: (2024-01-01)

Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset
by: Muhammad Usama Tanveer, et al.
Published: (2024-01-01)

Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks
by: Badeea Al Sukhni, et al.
Published: (2024-12-01)

FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things
by: Tayyab Rehman, et al.
Published: (2024-12-01)

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

Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning
by: Ke Qi
Published: (2025-01-01)

Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights
by: Filippo Genuario, et al.
Published: (2024-11-01)

The sweet taste of IoT deception: an adaptive honeypot framework for design and evaluation
by: Dmytro S. Morozov, et al.
Published: (2024-11-01)