Effective Intrusion Detection in Heterogeneous Internet-of-Things Networks via Ensemble Knowledge Distillation-based Federated Learning

J Shen, W Yang, Z Chu, J Fan, D Niyato… - arXiv preprint arXiv …, 2024 - arxiv.org
With the rapid development of low-cost consumer electronics and cloud computing, Internet-
of-Things (IoT) devices are widely adopted for supporting next-generation distributed …

Research on the integrated failure analysis method of safety and security of fieldbus transmitters

X Zhou, A Xu, B Yan, Y Sun, W Chen… - Measurement and …, 2024 - journals.sagepub.com
Fieldbus transmitters are commonly used in modern industrial productions, particularly in
Safety Instrumented Systems (SIS). Safety and security are critical considerations in the …

Intrusion Detection for IoT Network Security with Deep learning

R Morshedi, SM Matinkhah… - Journal of AI and Data …, 2024 - jad.shahroodut.ac.ir
IoT devices has witnessed a substantial increase due to the growing demand for smart
devices. Intrusion Detection Systems (IDS) are critical components for safeguarding IoT …

Exploring Impact of Data Noise on IoT Security: a Study using Decision Tree Classification in Intrusion Detection Systems

SM Matinkhah, R Morshedi… - Journal of AI and Data …, 2023 - jad.shahroodut.ac.ir
The Internet of Things (IoT) has emerged as a rapidly growing technology that enables
seamless connectivity between a wide variety of devices. However, with this increased …

Federated Learning with Kalman Filter for Intrusion Detection in IoT Environment

Z Almesleh, A Gouissem… - 2024 IEEE 8th Energy …, 2024 - ieeexplore.ieee.org
Enhancing the IoT (Internet of Things) network for reliability prompted a heightened focus on
device security, given their diverse characteristics and sensitive data exchange. Federated …