An ensemble deep federated learning cyber-threat hunting model for Industrial Internet of Things

AN Jahromi, H Karimipour, A Dehghantanha - Computer Communications, 2023 - Elsevier
Abstract Industrial Internet of Things (IIoT) is an emerging technology with prompt evolution
in diverse applications, including critical infrastructure. While the increasing number of IIoT …

FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT

PT Duy, NH Quyen, NH Khoa, TD Tran, VH Pham - Internet of Things, 2023 - Elsevier
In the development of the Industrial Internet of Things (IIoT), cyber threats and attacks have
become major issues and concerns in Industry 4.0 due to the negative impacts on the …

An ensemble multi-view federated learning intrusion detection for IoT

DC Attota, V Mothukuri, RM Parizi, S Pouriyeh - IEEE Access, 2021 - ieeexplore.ieee.org
The rise in popularity of Internet of Things (IoT) devices has attracted hackers to develop IoT-
specific attacks. The microservice architecture of IoT devices relies on the Internet to provide …

Collaborative learning model for cyberattack detection systems in iot industry 4.0

TV Khoa, YM Saputra, DT Hoang… - 2020 IEEE wireless …, 2020 - ieeexplore.ieee.org
Although the development of IoT Industry 4.0 has brought breakthrough achievements in
many sectors, eg, manufacturing, healthcare, and agriculture, it also raises many security …

Pelican optimization algorithm with federated learning driven attack detection model in internet of things environment

FN Al-Wesabi, HA Mengash, R Marzouk… - Future Generation …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is comprised of millions of physical devices
interconnected with the Internet through network that performs a task independently with …

[HTML][HTML] A federated learning-based approach for improving intrusion detection in industrial internet of things networks

MM Rashid, SU Khan, F Eusufzai, MA Redwan… - Network, 2023 - mdpi.com
The Internet of Things (IoT) is a network of electrical devices that are connected to the
Internet wirelessly. This group of devices generates a large amount of data with information …

[HTML][HTML] Personalized federated learning-based intrusion detection system: Poisoning attack and defense

TT Thein, Y Shiraishi, M Morii - Future Generation Computer Systems, 2024 - Elsevier
To deal with the increasing number of cyber-attacks, intrusion detection system (IDS) plays
an important role in monitoring and ensuring the security of the computer network. With the …

[HTML][HTML] Accurate threat hunting in industrial internet of things edge devices

A Yazdinejad, B Zolfaghari, A Dehghantanha… - Digital Communications …, 2023 - Elsevier
Abstract Industrial Internet of Things (IIoT) systems depend on a growing number of edge
devices such as sensors, controllers, and robots for data collection, transmission, storage …

A snapshot ensemble deep neural network model for attack detection in industrial internet of things

HM Rouzbahani, AH Bahrami, H Karimipour - AI-Enabled Threat Detection …, 2021 - Springer
In the past few years, the Industrial Internet of Things (IIoT) started to emerge in different
industry sectors. IIoT connects different physical equipment and systems in order to operate …

[HTML][HTML] Customised intrusion detection for an industrial IoT heterogeneous network based on machine learning algorithms called FTL-CID

N Abosata, S Al-Rubaye, G Inalhan - Sensors, 2022 - mdpi.com
Technological breakthroughs in the Internet of Things (IoT) easily promote smart lives for
humans by connecting everything through the Internet. The de facto standardised IoT routing …