Internet of Things (IoT) security with blockchain technology: A state-of-the-art review
With the rapid enhancement in the design and development of the Internet of Things creates
a new research interest in the adaptation in industrial domains. It is due to the impact of …
a new research interest in the adaptation in industrial domains. It is due to the impact of …
Federated learning for intrusion detection system: Concepts, challenges and future directions
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …
making its infrastructure more complex and heterogeneous. The predominated usage of …
Federated deep learning for zero-day botnet attack detection in IoT-edge devices
Deep learning (DL) has been widely proposed for botnet attack detection in Internet of
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
Federated reinforcement learning: Techniques, applications, and open challenges
This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL),
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …
an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of …
Detecting cyberattacks using anomaly detection in industrial control systems: A federated learning approach
In recent years, the rapid development and wide application of advanced technologies have
profoundly impacted industrial manufacturing, leading to smart manufacturing (SM) …
profoundly impacted industrial manufacturing, leading to smart manufacturing (SM) …
Distributed anomaly detection in smart grids: a federated learning-based approach
The smart grid integrates Information and Communication Technologies (ICT) into the
traditional power grid to manage the generation, distribution, and consumption of electrical …
traditional power grid to manage the generation, distribution, and consumption of electrical …
On the feasibility of federated learning towards on-demand client deployment at the edge
Nowadays, researchers are investing their time and devoting their efforts in developing and
motivating the 6G vision and resources that are not available in 5G. Edge computing and …
motivating the 6G vision and resources that are not available in 5G. Edge computing and …
Efficient intrusion detection toward IoT networks using cloud–edge collaboration
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …