An explainable ensemble deep learning approach for intrusion detection in industrial Internet of Things

MK Hasan, R Sulaiman, S Islam, AU Rehman - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

Generative adversarial network and auto encoder based anomaly detection in distributed IoT networks

T Zixu, KSK Liyanage… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
With the advances in modern communication technologies, the application scale of Internet
of Things (IoT) has evolved at an unprecedented level, which on the other hand poses …

Artificial immunity based distributed and fast anomaly detection for Industrial Internet of Things

B Li, Y Chang, H Huang, W Li, T Li, W Chen - Future Generation Computer …, 2023 - Elsevier
Recent years have witnessed an increased attack surface of the Industrial Internet of Things
(IIoT), as the deep convergence of the Internet of Things (IoT) and other information and …

[HTML][HTML] Anomaly detection using deep neural network for IoT architecture

Z Ahmad, A Shahid Khan, K Nisar, I Haider, R Hassan… - Applied Sciences, 2021 - mdpi.com
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …

A framework for anomaly detection in IoT networks using conditional generative adversarial networks

I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
While anomaly detection and the related concept of intrusion detection are widely studied,
detecting anomalies in new operating behavior in environments such as the Internet of …

Anomaly based intrusion detection for iot with machine learning

A Shaver, Z Liu, N Thapa, K Roy… - 2020 IEEE applied …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is the network that connects smart devices over the Internet.
These devices are increasingly found in every facet of life, providing distributed data …

Outlier detection with optimal hybrid deep learning enabled intrusion detection system for ubiquitous and smart environment

M Ragab, MFS Sabir - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
Ubiquitous system returns to making pervasive computing in daily lives, the objects of smart
environment becomes intelligent and interconnect without anyone being conscious of the …

Design and development of a deep learning-based model for anomaly detection in IoT networks

I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
The growing development of IoT (Internet of Things) devices creates a large attack surface
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …

SDN-enabled IoT anomaly detection using ensemble learning

E Tsogbaatar, MH Bhuyan, Y Taenaka, D Fall… - … and Innovations: 16th …, 2020 - Springer
Abstract Internet of Things (IoT) devices are inherently vulnerable due to insecure design,
implementation, and configuration. Aggressive behavior change, due to increased attacker's …

ERID: A deep learning-based approach towards efficient real-time intrusion detection for IoT

M Lin, B Zhao, Q Xin - 2020 IEEE eighth international …, 2020 - ieeexplore.ieee.org
In the 5G and Internet of Things (IoT) era, the threat of network intrusions has greatly affected
people's work and life. The increasing complexity of intelligent devices in IoT brings huge …