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.
Cited by 108
M. Khayyat · Alexandria Engineering Journal · 2023
Urooj Akram, Wareesa Sharif, Mobeen Shahroz · Italian National Conference on Sensors · 2023
M. Jayaweera, W. Kithulwatta, R. Rathnayaka · Cluster Computing · 2023
Hamda Bouzabia, Tri Nhu Do, Georges Kaddoum · IEEE Systems Journal · 2023
Yazeed Alotaibi, Mohammad Ilyas · Italian National Conference on Sensors · 2023
Shereen S. Ismail, Diana W. Dawoud, Hassan Reza · Future Internet · 2023
Dolores García, R. Ruiz, J. O. Lacruz · IEEE Conference on Computer Communications · 2023
Jie Yin, Chun-Tang Zhang, Wen-Wei Xie · Peer-to-Peer Networking and Applications · 2023
Tehseen Mazhar, Dhani Bux Talpur, Tamara Al Shloul · Brain Science · 2023
Juan Ignacio Iturbe Araya, H. Rifà-Pous · Internet of Things · 2023
Showing 104 of 108 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.
0
Page views
0
PDF downloads
0
Outbound clicks
108
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
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.