Secureiiot environment: Federated learning empowered approach for securing iiot from data breach
The growing congruence of gadgets today resulted in a numerous type of cyber attacks. A
similar trend occurs with the industrial Internet of Things (IIoT), wherein increasing data …
similar trend occurs with the industrial Internet of Things (IIoT), wherein increasing data …
RobustFL: Robust federated learning against poisoning attacks in industrial IoT systems
Industrial Internet of Things (IIoT) systems are key enabling infrastructures that sustain the
functioning of production and manufacturing. To satisfy the intelligence demands, federated …
functioning of production and manufacturing. To satisfy the intelligence demands, federated …
A blockchain-based federated learning scheme for data sharing in industrial internet of things
As the Industrial Internet of Things (IIoT) continues to grow in scale, edge devices will
generate massive amounts of data every single day. However, most of the IIoT data exists in …
generate massive amounts of data every single day. However, most of the IIoT data exists in …
Federated learning based privacy ensured sensor communication in IoT networks: a taxonomy, threats and attacks
Our daily lives are significantly impacted by intelligent Internet of Things (IoT) application,
services, IoT gadgets, and more intelligent industries. Artificial Intelligence (AI) is anticipated …
services, IoT gadgets, and more intelligent industries. Artificial Intelligence (AI) is anticipated …
Recent advances on federated learning for cybersecurity and cybersecurity for federated learning for internet of things
Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …
emerging Internet of Things (IoT) has gained a lot of attention from the government …
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 …
[HTML][HTML] Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions
Abstract Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a
reputation for not only building Machine Learning (ML) models that rely on distributed …
reputation for not only building Machine Learning (ML) models that rely on distributed …
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 …
[HTML][HTML] 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 …
Blockchain and federated learning for privacy-preserved data sharing in industrial IoT
Y Lu, X Huang, Y Dai, S Maharjan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The rapid increase in the volume of data generated from connected devices in industrial
Internet of Things paradigm, opens up new possibilities for enhancing the quality of service …
Internet of Things paradigm, opens up new possibilities for enhancing the quality of service …