Practical intrusion detection of emerging threats
R Mills, AK Marnerides, M Broadbent… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT), in combination with advancements in Big Data, communications
and networked systems, offers a positive impact across a range of sectors including health …
and networked systems, offers a positive impact across a range of sectors including health …
[HTML][HTML] Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness
Abstract The Internet of Things (IoT) is a key enabler in closing the loop in Cyber-Physical
Systems, providing “smartness” and thus additional value to each monitored/controlled …
Systems, providing “smartness” and thus additional value to each monitored/controlled …
Anomaly-based network intrusion detection using machine learning
M Labonne - 2020 - theses.hal.science
In recent years, hacking has become an industry unto itself, increasing the number and
diversity of cyber attacks. Threats on computer networks range from malware to denial of …
diversity of cyber attacks. Threats on computer networks range from malware to denial of …
[HTML][HTML] 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 …
of connectivity and data. Anomaly detection is a security feature that identifies instances in …
A taxonomy of network threats and the effect of current datasets on intrusion detection systems
As the world moves towards being increasingly dependent on computers and automation,
building secure applications, systems and networks are some of the main challenges faced …
building secure applications, systems and networks are some of the main challenges faced …
[HTML][HTML] A hybrid methodology for anomaly detection in Cyber–Physical Systems
N Jeffrey, Q Tan, JR Villar - Neurocomputing, 2024 - Elsevier
The rapid adoption of Industry 4.0 has seen Information Technology (IT) networks
increasingly merged with Operational Technology (OT) networks, which have traditionally …
increasingly merged with Operational Technology (OT) networks, which have traditionally …
Efficient approach for anomaly detection in internet of things traffic using deep learning
The network intrusion detection system (NIDs) is a significant research milestone in
information security. NIDs can scan and analyze the network to detect an attack or anomaly …
information security. NIDs can scan and analyze the network to detect an attack or anomaly …
Adriot: An edge-assisted anomaly detection framework against iot-based network attacks
Internet of Things (IoT) has entered a stage of rapid development and increasing
deployment. Meanwhile, these low-power devices typically cannot support complex security …
deployment. Meanwhile, these low-power devices typically cannot support complex security …
[HTML][HTML] A systematic literature review of methods and datasets for anomaly-based network intrusion detection
As network techniques rapidly evolve, attacks are becoming increasingly sophisticated and
threatening. Network intrusion detection has been widely accepted as an effective method to …
threatening. Network intrusion detection has been widely accepted as an effective method to …
[HTML][HTML] Using Ensemble Learning for Anomaly Detection in Cyber–Physical Systems
N Jeffrey, Q Tan, JR Villar - Electronics, 2024 - mdpi.com
The swift embrace of Industry 4.0 paradigms has led to the growing convergence of
Information Technology (IT) networks and Operational Technology (OT) networks …
Information Technology (IT) networks and Operational Technology (OT) networks …