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 …

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 detection using deep convolutional generative adversarial networks in the internet of things

AK Mishra, S Paliwal, G Srivastava - ISA transactions, 2024 - Elsevier
Advanced 5 G and 6 G technologies have accelerated the adoption of the Internet of Things
(IoT) and are a priority in providing support for high-speed communication and fast data …

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 …

Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing

Y Chen, Q Lin, W Wei, J Ji, KC Wong… - Knowledge-Based …, 2022 - Elsevier
Our world is moving fast towards the era of the Internet of Things (IoT), which connects all
kinds of devices to digital services and brings significant convenience to our lives. With the …

Exploring the Use of Data-Driven Approaches for Anomaly Detection in the Internet of Things (IoT) Environment

E Achiluzzi, M Li, MFA Georgy, R Kashef - arXiv preprint arXiv:2301.00134, 2022 - arxiv.org
The Internet of Things (IoT) is a system that connects physical computing devices, sensors,
software, and other technologies. Data can be collected, transferred, and exchanged with …

Deep learning-enabled anomaly detection for IoT systems

A Abusitta, GHS de Carvalho, OA Wahab, T Halabi… - Internet of Things, 2023 - Elsevier
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 …

Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment

BA NG, S Selvakumar - Future Generation Computer Systems, 2020 - Elsevier
The proliferation of Internet of things (IoT) devices has lured hackers to launch attacks.
Therefore, anomalies in IoT traffic must be detected to mitigate these attacks and protect …

Fog computing-based intrusion detection architecture to protect iot networks

Y Labiod, A Amara Korba, N Ghoualmi - Wireless Personal …, 2022 - Springer
With the deployment of billions of Internet of Things (IoT) devices, more and more cyber
attacks involving or even targeting such devices are rife. Cyberattack vectors are in constant …

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 …