Deep-IFS: Intrusion detection approach for industrial internet of things traffic in fog environment

M Abdel-Basset, V Chang, H Hawash… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The extensive propagation of industrial Internet of Things (IIoT) technologies has
encouraged intruders to initiate a variety of attacks that need to be identified to maintain the …

Industrial IoT intrusion detection via evolutionary cost-sensitive learning and fog computing

A Telikani, J Shen, J Yang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Cyber attacks and intrusions have become the major obstacles to the adoption of the
Industrial Internet of Things (IIoT) in critical industries. Imbalanced data distribution is a …

Two-step ensemble approach for intrusion detection and identification in IoT and fog computing environments

CA De Souza, CB Westphall, RB Machado - Computers & Electrical …, 2022 - Elsevier
Abstract Due to Internet of Things devices resource limitations, security often does not
receive enough attention. Intrusion detection approaches are important for identifying …

Semi-supervised spatiotemporal deep learning for intrusions detection in IoT networks

M Abdel-Basset, H Hawash… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The rapid growth of the Internet of Things (IoT) technologies has generated a huge amount
of traffic that can be exploited for detecting intrusions through IoT networks. Despite the great …

DANTD: a deep abnormal network traffic detection model for security of industrial internet of things using high-order features

G Shi, X Shen, F Xiao, Y He - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …

[HTML][HTML] A novel ensemble of hybrid intrusion detection system for detecting internet of things attacks

A Khraisat, I Gondal, P Vamplew, J Kamruzzaman… - Electronics, 2019 - mdpi.com
The Internet of Things (IoT) has been rapidly evolving towards making a greater impact on
everyday life to large industrial systems. Unfortunately, this has attracted the attention of …

A two-layer fog-cloud intrusion detection model for IoT networks

S Roy, J Li, Y Bai - Internet of Things, 2022 - Elsevier
Abstract The Internet of Things (IoT) and its applications are becoming ubiquitous in our life.
However, the open deployment environment and the limited resources of IoT devices make …

Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment

DKK Reddy, HS Behera, J Nayak, B Naik… - Journal of Information …, 2021 - Elsevier
The essential role of intrusion detection is to manage the critical infrastructure to detect
malicious activity competently concerning the Internet of Things (IoT). The IoT network is …

[HTML][HTML] A framework for malicious traffic detection in IoT healthcare environment

F Hussain, SG Abbas, GA Shah, IM Pires, UU Fayyaz… - Sensors, 2021 - mdpi.com
The Internet of things (IoT) has emerged as a topic of intense interest among the research
and industrial community as it has had a revolutionary impact on human life. The rapid …

[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.

H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …