Attack and Anomaly Detection in IoT Networks using Machine Learning Techniques: A Review
Saad Hikmat Haji, Siddeeq Y. Ameen
Asian Journal of Research in Computer Science · pp. 30–46 · Published 2 Jun 2021
10.9734/ajrcos/2021/v9i230218Abstract
The Internet of Things (IoT) is one of today's most rapidly growing technologies. It is a technology that allows billions of smart devices or objects known as "Things" to collect different types of data about themselves and their surroundings using various sensors. They may then share it with the authorized parties for various purposes, including controlling and monitoring industrial services or increasing business services or functions. However, the Internet of Things currently faces more security threats than ever before. Machine Learning (ML) has observed a critical technological breakthrough, which has opened several new research avenues to solve current and future IoT challenges. However, Machine Learning is a powerful technology to identify threats and suspected activities in intelligent devices and networks. In this paper, various ML algorithms have been compared in terms of attack detection and anomaly detection, following a thorough literature review on Machine Learning methods and the significance of IoT security in the context of various types of potential attacks. Furthermore, possible ML-based IoT protection technologies have been introduced.
References (35)
- 1 A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures [DOI]
- 2 A Survey on Security and Privacy Issues in Internet-of-Things [DOI]
- 3 Distributed attack detection scheme using deep learning approach for Internet of Things [DOI]
- 4 Network Intrusion Detection for IoT Security Based on Learning Techniques [DOI]
- 5 A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues [DOI]
- 6 Internet of Things: A survey on the security of IoT frameworks [DOI]
- 7 IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security? [DOI]
- 8 Internet of Things (IoT) Cybersecurity Research: A Review of Current Research Topics [DOI]
- 9 Machine learning based solutions for security of Internet of Things (IoT): A survey [DOI]
- 10 Multimodal Emotion Recognition using Deep Learning [DOI]
- 11 Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research directions [DOI]
- 12 AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning [DOI]
- 13 Internet of Things (IoT): Research, Simulators, and Testbeds [DOI]
- 14 A Critical Review of Practices and Challenges in Intrusion Detection Systems for IoT: Toward Universal and Resilient Systems [DOI]
- 15 Evaluation of Machine Learning Algorithms for Anomaly Detection [DOI]
- 16 Energy Management for Internet of Things via Distributed Systems [DOI]
- 17 Task Scheduling Algorithms in Cloud Computing: A Review [DOI]
- 18 Internet of Things Cyber Attacks Detection using Machine Learning [DOI]
- 19 Internet of Things Security Research: A Rehash of Old Ideas or New Intellectual Challenges? [DOI]
- 20 Anomaly Detection Techniques using Deep Learning in IoT: A Survey [DOI]
- 21 A State of Art Survey for Intelligent Energy Monitoring Systems [DOI]
- 22 A State of Art for Smart Gateways Issues and Modification [DOI]
- 23 A walkthrough of the emerging IoT paradigm: Visualizing inside functionalities, key features, and open issues [DOI]
- 24 Supervised Machine Learning Based Network Intrusion Detection System for Internet of Things [DOI]
- 25 Machine Learning Based Intrusion Detection for IoT Botnet [DOI]
- 26 Real time pollution monitoring using Wireless Sensor Networks [DOI]
- 27 Real Time Video Streaming From Multi-Source Using Client-Server for Video Distribution [DOI]
- 28 Embedded Real-Time Video Surveillance System based on Multi-Sensor and Visual Tracking [DOI]
- 29 Two Levels Alert Verification Technique for Smart Oil Pipeline Surveillance System (SOPSS) [DOI]
- 30 Dynamic Switching of Scheduling Algorithm for Uplink LTE System [DOI]
- 31 Decode And Forward Cooperative Protocol Enhancement Using Interference Cancellation [DOI]
- 32 Detection and Prevention Cyber-Attacks for Smart Buildings via Private Cloud Environment [DOI]
- 33 An Energy-Efficient MIMO-Based 4G LTE-A Adaptive Modulation and Coding Scheme for High Mobility Scenarios [DOI]
- 34 Improved hybrid variable and fixed step size least mean square adaptive filter algorithm with application to time varying system identification [DOI]
- 35 Machine Learning for anomaly detection in IoT networks :Malware analysis on the IoT-23 data set
Cited by 239
Alan Fuad Jahwar, Subhi R. M. Zeebaree · Asian Journal of Research in Computer Science · 2021
Dastan Hussen Maulud, Siddeeq Y. Ameen, Naaman Omar, Shakir Fattah Kak, Zryan Najat Rashid, Hajar Maseeh Yasin, Ibrahim Mahmood Ibrahim, Azar Abid Salih, Nareen O. M. Salim, Dindar Mikaeel Ahmed · Asian Journal of Research in Computer Science · 2021
Dindar Mikaeel Ahmed, Siddeeq Y. Ameen, Naaman Omar, Shakir Fattah Kak, Zryan Najat Rashid, Hajar Maseeh Yasin, Ibrahim Mahmood Ibrahim, Azar Abid Salih, Nareen O. M. Salim, Awder Mohammed Ahmed · Asian Journal of Research in Computer Science · 2021
Ibrahim Mahmood Ibrahim, Siddeeq Y. Ameen, Hajar Maseeh Yasin, Naaman Omar, Shakir Fattah Kak, Zryan Najat Rashid, Azar Abid Salih, Nareen O. M. Salim, Dindar Mikaeel Ahmed · Asian Journal of Research in Computer Science · 2021
Fairoz Q. Kareem, Siddeeq Y. Ameen, Azar Abid Salih, Dindar Mikaeel Ahmed, Shakir Fattah Kak, Hajar Maseeh Yasin, Ibrahim Mahmood Ibrahim, Awder Mohammed Ahmed, Zryan Najat Rashid, Naaman Omar · Asian Journal of Research in Computer Science · 2021
Shama Pathania, Amardeep Singh, Monika Singh · 2026 7th International Conference on Smart Systems and Inventive Technology (ICSSIT) · 2026
Shams Salim, Hayri Sever · 2026 2nd International Symposium on AI-Driven Engineering Systems (ISADES) · 2026
Aliyu Umar, Ivan Jordanov · IEEE Internet of Things Journal · 2026
B. Arfaoui, H. Mrabet, A. Jemai · 2025 2nd International Conference on Innovative and Intelligent Information Technologies (IC3IT) · 2026
Syed Kashif Ali Quadri, A. A. Laghari, M. Khuhro · Journal of Cyber Security Technology · 2026
Showing 109 of 239 known citations — external sources report more than can currently be individually listed.
Related research
- Detecting Dental Caries through Captured Images Using the Machine Learning Technology Teachable Machine — shares topic coverage
- Prediction of Radiotherapy Dose Distribution for Glioblastoma Using Convolutional Neural Network Model — shares topic coverage
- A Systematic Literature Review of Machine Learning Methods in Healthcare — shares topic coverage
- Diagnostic Accuracy of Artificial Intelligence for Breast Cancer Detection: A Systematic Review — shares topic coverage
- Artificial Intelligence in the Analysis of the Fetal Genome in Utero: A Critical Review of Current Paradigms, Clinical Utility and Future Horizons — shares topic coverage
Article metrics
Real usage data collected on this platform.
121
Page views
0
PDF downloads
5
Outbound clicks
239
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.