Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
Security of Internet of Things (IoT) using federated learning and deep learning—Recent advancements, issues and prospects
There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …
from potential adversarial attacks. However, it is challenging to design a suitable security …
On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Intrusion detection based on privacy-preserving federated learning for the industrial IoT
P Ruzafa-Alcázar, P Fernández-Saura… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Federated learning (FL) has attracted significant interest given its prominent advantages and
applicability in many scenarios. However, it has been demonstrated that sharing updated …
applicability in many scenarios. However, it has been demonstrated that sharing updated …
Fedgan-ids: Privacy-preserving ids using gan and federated learning
Federated Learning (FL) is a promising distributed training model that aims to minimize the
data sharing to enhance privacy and performance. FL requires sufficient and diverse training …
data sharing to enhance privacy and performance. FL requires sufficient and diverse training …
Federated semisupervised learning for attack detection in industrial Internet of Things
Security has become a critical issue for Industry4. 0 due to different emerging cyber-security
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …
[HTML][HTML] Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks
There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover,
the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse …
the sophistication and motivation of those attacks is increasing. The vast scale of IoT, diverse …
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
The constantly evolving digital transformation imposes new requirements on our society.
Aspects relating to reliance on the networking domain and the difficulty of achieving security …
Aspects relating to reliance on the networking domain and the difficulty of achieving security …
PPSS: A privacy-preserving secure framework using blockchain-enabled federated deep learning for industrial IoTs
The growing reliance of industry 4.0/5.0 on emergent technologies has dramatically
increased the scope of cyber threats and data privacy issues. Recently, federated learning …
increased the scope of cyber threats and data privacy issues. Recently, federated learning …
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 …
Internet wirelessly. This group of devices generates a large amount of data with information …