Federated learning-based intrusion detection in SDN-enabled IIoT networks
PT Duy, T Van Hung, NH Ha… - … on Information and …, 2021 - ieeexplore.ieee.org
Witnessing the explosion in the number of Internet of Things (IoTs) in industries, Software
Defined Networking (SDN) is considered as a flexible, efficient, and programmable …
Defined Networking (SDN) is considered as a flexible, efficient, and programmable …
Federated learning-based intrusion detection in the context of IIoT networks: poisoning attack and defense
Abstract The emerging of Federated Learning (FL) paradigm in training has been drawn
much attention from research community because of the demand of privacy preservation in …
much attention from research community because of the demand of privacy preservation in …
Federated mimic learning for privacy preserving intrusion detection
NAAA Al-Marri, BS Ciftler… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Internet of things (IoT) devices are prone to attacks due to the limitation of their privacy and
security components. These attacks vary from exploiting backdoors to disrupting the …
security components. These attacks vary from exploiting backdoors to disrupting the …
A novel sdn dataset for intrusion detection in iot networks
AK Sarica, P Angin - 2020 16th International Conference on …, 2020 - ieeexplore.ieee.org
The number of Internet of Things (IoT) devices and the use cases they aim to support have
increased sharply in the past decade with the rapid developments in wireless networking …
increased sharply in the past decade with the rapid developments in wireless networking …
Enhancing cyber security in IoT systems using FL-based IDS with differential privacy
Z Anastasakis, K Psychogyios… - 2022 Global …, 2022 - ieeexplore.ieee.org
Nowadays, IoT networks and devices exist in our everyday life, capturing and carrying
unlimited data. However, increasing penetration of connected systems and devices implies …
unlimited data. However, increasing penetration of connected systems and devices implies …
Intrusion detection system for SDN-enabled IoT networks using machine learning techniques
With the rapid increase in smart devices and lowering prices of sensing devices, adoption of
the Internet of Things (IoT) is gaining impetus. These IoT devices come with a greater threat …
the Internet of Things (IoT) is gaining impetus. These IoT devices come with a greater threat …
Privacy-preserving collaborative intrusion detection in edge of internet of things: A robust and efficient deep generative learning approach
W Yao, H Zhao, H Shi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The swift expansion of the Internet of Things (IoT) has brought about convenient services,
but it has also increased cyber threats. An intrusion detection system (IDS) is an effective …
but it has also increased cyber threats. An intrusion detection system (IDS) is an effective …
Hierarchical federated learning for collaborative IDS in IoT applications
As the Internet-of-Things devices are being very widely adopted in all fields, such as smart
houses, healthcare, and transportation, extremely huge amounts of data are being gathered …
houses, healthcare, and transportation, extremely huge amounts of data are being gathered …
Semisupervised federated-learning-based intrusion detection method for internet of things
Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …
to avoid data privacy leakage in Internet of Things (IoT) edge devices. Existing FL-based …
A semi-supervised federated learning scheme via knowledge distillation for intrusion detection
Federated learning (FL) has become an increasingly popular solution for intrusion detection
to avoid data privacy leakage in Internet of Things (IoT) edge devices. However, most of the …
to avoid data privacy leakage in Internet of Things (IoT) edge devices. However, most of the …