Machine learning and deep learning techniques for internet of things network anomaly detection—current research trends

SH Rafique, A Abdallah, NS Musa, T Murugan - Sensors, 2024 - mdpi.com
With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels
of connectivity and data. Anomaly detection is a security feature that identifies instances in …

Lkd-stnn: A lightweight malicious traffic detection method for internet of things based on knowledge distillation

S Zhu, X Xu, J Zhao, F Xiao - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The purpose of malicious traffic detection and identification in the Internet of Things (IoT) is
to detect the intrusion of malicious traffic within the IoT network into IoT devices. Detection …

A cloud-based intrusion detection system for advanced threat detection and prevention using machine learning techniques

R Abhinav, KN Raghav, SS Reddy… - 2023 14th …, 2023 - ieeexplore.ieee.org
With the escalating number and complexity of cyber-attacks, in the realm of network security,
intrusion detection systems (IDS) hold significant significance in protecting organizations …

Machine Learning-Based Threat Identification Systems: Machine Learning-Based IDS Using Decision Tree

S Kalra, A Chhabra - Handbook of Research on Machine Learning …, 2023 - igi-global.com
The increasing popularity of internet of things (IoT), dissimilar networks, distributed devices,
and applications has turned out to be a major call for the identification of novel security …

Robust Intrusion Detection for Industrial IoT

H Ren, L Gong, X Mo, L Yang… - 2023 19th International …, 2023 - ieeexplore.ieee.org
Due to the significant role of Industrial Internet of Things (IIoT) in industrial systems, it often
faces numerous network attacks. Therefore, intrusion detection systems are crucial for real …

A comprehensive survey on deep learning‐based intrusion detection systems in Internet of Things (IoT)

QA Al‐Haija, A Droos - Expert Systems - Wiley Online Library
The proliferating popularity of Internet of Things (IoT) devices has led to wide‐scale
networked system implementations across multiple disciplines, including transportation …

Evaluation the Robustness of Iot Intrusion Detection Models in Adversarial Attack Environments

X Che, H Li, L Chi, F Wang, J Hu - Available at SSRN 4611920 - papers.ssrn.com
In the field of IoT network security, intrusion detectors that utilize machine learning and deep
learning algorithms have gained widespread interest and application. However, this …

[PDF][PDF] Security in the Internet of Things (IoT): Developing intrusion detection systems for IoT devices and networks and addressing the unique security challenges …

K Mahanta, HB Maringanti - academia.edu
The Internet of Things (IoT) has revolutionized the way we live, connecting millions of
devices and networks to the Internet. However, this interconnected environment also poses …