An SDN perspective IoT-Fog security: A survey

S Javanmardi, M Shojafar, R Mohammadi, M Alazab… - Computer Networks, 2023 - Elsevier
The utilization of the Internet of Things (IoT) has burst in recent years. Fog computing is a
notion that solves cloud computing's limitations by offering low latency to IoT network user …

[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT

M Vishwakarma, N Kesswani - Decision Analytics Journal, 2022 - Elsevier
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …

Efficient intrusion detection toward IoT networks using cloud–edge collaboration

R Yang, H He, Y Xu, B Xin, Y Wang, Y Qu, W Zhang - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …

[HTML][HTML] Res-TranBiLSTM: An intelligent approach for intrusion detection in the Internet of Things

S Wang, W Xu, Y Liu - Computer Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT), as the information carrier of the Internet and
telecommunications networks, is a new network technology comprising physical entities …

[HTML][HTML] Trustworthy Artificial Intelligence Methods for Users' Physical and Environmental Security: A Comprehensive Review

S Szymoniak, F Depta, Ł Karbowiak, M Kubanek - Applied Sciences, 2023 - mdpi.com
Artificial Intelligence is an indispensable element of the modern world, constantly evolving
and contributing to the emergence of new technologies. We meet it in everyday applications …

Seagull Optimization-based Feature Selection with Optimal Extreme Learning Machine for Intrusion Detection in Fog Assisted WSN

T Muthu, VK Kalimuthu - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak On the internet, various devices that are connected to the Internet of Things (IoT)
and Wireless Sensor Networks (WSNs) share the resources that they have in accordance …

[HTML][HTML] Intelligent intrusion detection framework for multi-clouds–IoT environment using swarm-based deep learning classifier

SMT Nizamudeen - Journal of Cloud Computing, 2023 - Springer
In the current era, a tremendous volume of data has been generated by using web
technologies. The association between different devices and services have also been …

Machine Learning Based Predictive Model for Intrusion Detection

S Srivastav, K Guleria, S Sharma - … International Conference on …, 2023 - ieeexplore.ieee.org
A software that examines network traffic and searches for inconsistencies is known as an
Intrusion Detection System (IDS). Network changes that seem to be abnormal or unexpected …

Hierarchical multistep approach for intrusion detection and identification in IoT and Fog computing-based environments

CA de Souza, CB Westphall, JDG Valencio… - Ad Hoc Networks, 2024 - Elsevier
Special security techniques, such as intrusion detection mechanisms, are indispensable in
modern computer systems. With the emergence of the Internet of Things they have become …

Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection

R Qaddoura, H Faris - The Journal of Supercomputing, 2024 - Springer
The intrusion detection system is responsible for revealing different intrusion activities,
including the denial of service, man-in-middle, Mirai, Scan, and other types of intrusion …