Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning

C Hazman, A Guezzaz, S Benkirane, M Azrour - Cluster Computing, 2023 - Springer
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …

A new ensemble-based intrusion detection system for internet of things

A Abbas, MA Khan, S Latif, M Ajaz, AA Shah… - Arabian Journal for …, 2022 - Springer
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …

Smart city: Recent advances in intelligent street lighting systems based on IoT

A Omar, S AlMaeeni, H Attia, M Takruri… - Journal of …, 2022 - Wiley Online Library
Based on the importance of energy saving in terms of reducing the carbon impact and global
warming problems, smart street lighting systems have been proposed in the past few years …

An ensemble learning based intrusion detection model for industrial IoT security

M Mohy-Eddine, A Guezzaz… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) represents the expansion of the Internet of Things (IoT) in
industrial sectors. It is designed to implicate embedded technologies in manufacturing fields …

Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …

A federated learning framework for cyberattack detection in vehicular sensor networks

M Driss, I Almomani, Z e Huma, J Ahmad - Complex & Intelligent Systems, 2022 - Springer
Abstract Vehicular Sensor Networks (VSN) introduced a new paradigm for modern
transportation systems by improving traffic management and comfort. However, the …

Boost‐Defence for resilient IoT networks: A head‐to‐toe approach

Q Abu Al‐Haija, A Al Badawi, GR Bojja - Expert Systems, 2022 - Wiley Online Library
Abstract The Internet of Things (IoT) is an emerging technology that is considered a key
enabler for next‐generation smart cities, industries, security services and economies. IoT …

[HTML][HTML] Dtl-ids: An optimized intrusion detection framework using deep transfer learning and genetic algorithm

S Latif, W Boulila, A Koubaa, Z Zou, J Ahmad - Journal of Network and …, 2024 - Elsevier
In the dynamic field of the Industrial Internet of Things (IIoT), the networks are increasingly
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …

Attack-Aware IoT network traffic routing leveraging ensemble learning

Q Abu Al-Haija, A Al-Badawi - Sensors, 2021 - mdpi.com
Network Intrusion Detection Systems (NIDSs) are indispensable defensive tools against
various cyberattacks. Lightweight, multipurpose, and anomaly-based detection NIDSs …