CICIoT2023: A real-time dataset and benchmark for large-scale attacks in IoT environment

ECP Neto, S Dadkhah, R Ferreira, A Zohourian, R Lu… - Sensors, 2023 - mdpi.com
Nowadays, the Internet of Things (IoT) concept plays a pivotal role in society and brings new
capabilities to different industries. The number of IoT solutions in areas such as …

Personalized device authentication scheme using Q-learning-based decision-making with the aid of transfer fuzzy learning for IIoT devices in zero trust network (PDA …

A Singh, RK Dhanaraj, AK Sharma - Computers and Electrical Engineering, 2024 - Elsevier
The IIoT infrastructure builds around devices without human intervention. Likewise, human
identification and authentication before accessing the devices, the machines involved in the …

Matyas–Meyer Oseas based device profiling for anomaly detection via deep reinforcement learning (MMODPAD-DRL) in zero trust security network

RK Dhanaraj, A Singh, A Nayyar - Computing, 2024 - Springer
The exposure of zero trust security in the Industrial Internet of Things (IIoT) increased in
importance in the era where there is a huge risk of injection of malicious entities and owning …

Deep Reinforcement Learning Aided Device Profiling for Anomaly Detection in IIoT Over Zero Trust Security Network

A Singh, RK Dhanaraj, CH Hsu… - 2023 IEEE Asia …, 2023 - ieeexplore.ieee.org
The application of internet of things in industries is the fourth revolution of industries and is
referred to as industry 4.0 or industrial internet of things. The shifting of manual and …