Block-FeST: A blockchain-based federated anomaly detection framework with computation offloading using transformers
Internet of Things (IoT) devices generate a massive amount of data on a regular basis. This
data has the potential to revolutionize every sector by developing intelligent systems …
data has the potential to revolutionize every sector by developing intelligent systems …
Security and privacy-enhanced federated learning for anomaly detection in IoT infrastructures
Internet of Things (IoT) anomaly detection is significant due to its fundamental roles of
securing modern critical infrastructures, such as falsified data injection detection and …
securing modern critical infrastructures, such as falsified data injection detection and …
BAD: A blockchain anomaly detection solution
M Signorini, M Pontecorvi, W Kanoun… - IEEE Access, 2020 - ieeexplore.ieee.org
Anomaly detection tools play a role of paramount importance in protecting networks and
systems from unforeseen attacks, usually by automatically recognizing and filtering out …
systems from unforeseen attacks, usually by automatically recognizing and filtering out …
[HTML][HTML] Chained anomaly detection models for federated learning: An intrusion detection case study
The adoption of machine learning and deep learning is on the rise in the cybersecurity
domain where these AI methods help strengthen traditional system monitoring and threat …
domain where these AI methods help strengthen traditional system monitoring and threat …
Block hunter: Federated learning for cyber threat hunting in blockchain-based iiot networks
A Yazdinejad, A Dehghantanha… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Nowadays, blockchain-based technologies are being developed in various industries to
improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based …
improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based …
Bad: blockchain anomaly detection
M Signorini, M Pontecorvi, W Kanoun… - arXiv preprint arXiv …, 2018 - arxiv.org
Anomaly detection tools play a role of paramount importance in protecting networks and
systems from unforeseen attacks, usually by automatically recognizing and filtering out …
systems from unforeseen attacks, usually by automatically recognizing and filtering out …
Decentralized federated learning for internet of things anomaly detection
With the improvement of computing power and the development of network technology,
Internet of Things (IoT) devices are widely used in many industries. But it also faces various …
Internet of Things (IoT) devices are widely used in many industries. But it also faces various …
[HTML][HTML] Enhancing IoT anomaly detection performance for federated learning
Federated Learning (FL) with mobile computing and the Internet of Things (IoT) is an
effective cooperative learning approach. However, several technical challenges still need to …
effective cooperative learning approach. However, several technical challenges still need to …
A survey on blockchain and artificial intelligence technologies for enhancing security and privacy in smart environments
Smart environments consist of a collection of sensors, actuators, and numerous computing
units that improve human life. With the booming of smart environments, data generation has …
units that improve human life. With the booming of smart environments, data generation has …
Exploiting unintended property leakage in blockchain-assisted federated learning for intelligent edge computing
Federated learning (FL) serves as an enabling technology for intelligent edge computing,
where high-quality machine learning (ML) models are collaboratively trained over large …
where high-quality machine learning (ML) models are collaboratively trained over large …