Federated quantum-based privacy-preserving threat detection model for consumer internet of things
D Namakshenas, A Yazdinejad… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) has significantly impacted the evolution of consumer-oriented
smart environments, primarily due to its capacity for transformative device-to-device …
smart environments, primarily due to its capacity for transformative device-to-device …
Privacy-preserved cyberattack detection in Industrial Edge of Things (IEoT): A blockchain-orchestrated federated learning approach
M Abdel-Basset, N Moustafa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The Industrial Internet ofThings (IIoT) plays an essential role in the digital renovation of
conventional industries to Industry 4.0. With the connectivity of sensors, actuators …
conventional industries to Industry 4.0. With the connectivity of sensors, actuators …
Intelligent Edge Computing for IoT: Enhancing Security and Privacy.
Edge computing is a distributed computing paradigm that involves processing data at or
near the edge of the internet of things (IoT) network, instead of centralized server. This …
near the edge of the internet of things (IoT) network, instead of centralized server. This …
[HTML][HTML] Quantum-empowered federated learning and 6G wireless networks for IoT security: Concept, challenges and future directions
Abstract The Internet of Things (IoT) has revolutionized various sectors by enabling
seamless device interaction. However, the proliferation of IoT devices has also raised …
seamless device interaction. However, the proliferation of IoT devices has also raised …
Detecting network attacks using federated learning for iot devices
O Shahid, V Mothukuri, S Pouriyeh… - 2021 IEEE 29th …, 2021 - ieeexplore.ieee.org
Billions of IoT devices are connected to networks all around us, enabling cyber-physical
systems. These devices can carry and generate user-sensitive data, examples of such …
systems. These devices can carry and generate user-sensitive data, examples of such …
P2tif: A blockchain and deep learning framework for privacy-preserved threat intelligence in industrial iot
The industrial Internet of Things (IIoT) is a fast-growing network of Internet-connected
sensing and actuating devices aimed to enhance manufacturing and industrial operations …
sensing and actuating devices aimed to enhance manufacturing and industrial operations …
Enhancing IoT Security through a Green and Sustainable Federated Learning Platform: Leveraging Efficient Encryption and the Quondam Signature Algorithm
This research paper introduces a novel paradigm that synergizes innovative algorithms,
namely efficient data encryption, the Quondam Signature Algorithm (QSA), and federated …
namely efficient data encryption, the Quondam Signature Algorithm (QSA), and federated …
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection
The continuous strengthening of the security posture of Internet of Things (IoT) ecosystems
is vital due to the increasing number of interconnected devices and the volume of sensitive …
is vital due to the increasing number of interconnected devices and the volume of sensitive …
FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT
In the development of the Industrial Internet of Things (IIoT), cyber threats and attacks have
become major issues and concerns in Industry 4.0 due to the negative impacts on the …
become major issues and concerns in Industry 4.0 due to the negative impacts on the …
Securing federated learning through blockchain and explainable ai for robust intrusion detection in iot networks
Federated learning (FL) is a distributed machine learning technique that allows multiple
devices or nodes in a network to collaboratively train a machine learning model while …
devices or nodes in a network to collaboratively train a machine learning model while …