An adaptive deep-ensemble anomaly-based intrusion detection system for the internet of things
K Albulayhi, FT Sheldon - 2021 IEEE World AI IoT Congress …, 2021 - ieeexplore.ieee.org
Nowadays, IoT technology has become an essential part of many aspects of life and
business. Nevertheless, such widespread application has come at the cost of many security …
business. Nevertheless, such widespread application has come at the cost of many security …
Design and implementation of a hybrid anomaly detection system for IoT
In recent years, the dramatic increase in the number of devices has empowered the Internet
of Things (IoT). Unfortunately though, IoT networks are susceptible to cyberattacks, due to …
of Things (IoT). Unfortunately though, IoT networks are susceptible to cyberattacks, due to …
[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 …
Deep learning-enabled anomaly detection for IoT systems
Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …
industries and government services. Unfortunately, IoT devices and networks are known to …
Implementation of ensemble learning and feature selection for performance improvements in anomaly-based intrusion detection systems
QRS Fitni, K Ramli - … on Industry 4.0, Artificial Intelligence, and …, 2020 - ieeexplore.ieee.org
In recent years, data security in organizational information systems has become a serious
concern. Many attacks are becoming less detectable by firewall and antivirus software. To …
concern. Many attacks are becoming less detectable by firewall and antivirus software. To …
IGWO-SoE: Improved grey wolf optimization based stack of ensemble learning algorithm for anomaly detection in internet of things edge computing
J Manokaran, G Vairavel - IEEE Access, 2023 - ieeexplore.ieee.org
With the tremendous growth and popularization of the Internet of Things (IoT), the number of
attacks targeting such devices has also increased. Therefore, enhancing the anomaly …
attacks targeting such devices has also increased. Therefore, enhancing the anomaly …
Scalable anomaly-based intrusion detection for secure Internet of Things using generative adversarial networks in fog environment
W Yao, H Shi, H Zhao - Journal of Network and Computer Applications, 2023 - Elsevier
The data generated exponentially by a massive number of devices in the Internet of Things
(IoT) are extremely high-dimensional, large-scale, non-labeled, which poses great …
(IoT) are extremely high-dimensional, large-scale, non-labeled, which poses great …
Robust attack detection approach for IIoT using ensemble classifier
Generally, the risks associated with malicious threats are increasing for the IIoT and its
related applications due to dependency on the Internet and the minimal resource availability …
related applications due to dependency on the Internet and the minimal resource availability …
Anomaly detection on iot network intrusion using machine learning
Enhancing the security of IoT networks is trending as one of the most crucial issues the
information technology community faces. With large scales of IoT devices being developed …
information technology community faces. With large scales of IoT devices being developed …
An explainable ensemble deep learning approach for intrusion detection in industrial Internet of Things
Ensuring the security of critical Industrial Internet of Things (IIoT) systems is of utmost
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …