Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated …
Feb 22, 2024 · Federated learning facilitates collaborative model training across decentralized devices, enabling anomaly detection without the need to share raw data among smart cities. …
Federated Learning for Cyber Security: What You Need to Know …
Jul 1, 2021 · In this article, we’ll discuss the basic principles of federated learning and cover how it can be used to create a spam filter with a dataset of emails. What is Federated Learning?
Security of Internet of Things (IoT) using federated learning and …
Oct 1, 2023 · This review paper focuses on the application of ML algorithms with an emphasis on federated learning and deep learning for IoT security. The study reviews various FL and DL …
Federated Learning for IoT networks. | Download Scientific Diagram
In this paper, we explore and implement federated learning techniques to detect attack traffic in the IoT network. We use Deep Neural Networks on the labeled dataset and Autoencoder on the...
High level architecture: Federated Learning for IoT
Figure 1 depicts the architecture of the proposed FL scheme for IoT intrusion detection, where a large number of devices are connected to the network and positioned in different sites.
Recent Advances on Federated Learning for Cybersecurity and ...
An objective of cybersecurity is achieved by forming the federation of the learned and shared model on top of various participants. Federated learning (FL), which is regarded as a privacy …
Hierarchical federated learning: architecture and data flow.
In this paper, we present a novel framework (FedProLs) for IoT perce... [...] Federated Learning (FL) is a privacy preserving machine learning scheme, where training happens with data...
(PDF) Federated Deep Learning for Cyber Security in the …
Oct 6, 2021 · 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.
(PDF) Federated Learning for Cybersecurity: Concepts, Challenges …
Oct 7, 2021 · We present an extensive survey of the various FL models currently developed by researchers for providing authentication, privacy, trust management and attack detection. We …
Federated learning-based data flow | Download Scientific Diagram
Download scientific diagram | Federated learning-based data flow from publication: Secure federated learning architecture for fuzzy classifier in healthcare environment |...