Trustworthy and reliable deep-learning-based cyberattack detection in industrial iot
A fundamental expectation of the stakeholders from the Industrial Internet of Things (IIoT) is
its trustworthiness and sustainability to avoid the loss of human lives in performing a critical …
its trustworthiness and sustainability to avoid the loss of human lives in performing a critical …
A review of secure federated learning: Privacy leakage threats, protection technologies, challenges and future directions
L Ge, H Li, X Wang, Z Wang - Neurocomputing, 2023 - Elsevier
Advances in the new generation of Internet of Things (IoT) technology are propelling the
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
Lockedge: Low-complexity cyberattack detection in iot edge computing
Internet of Things (IoT) and its applications are becoming commonplace with more devices,
but always at risk of network security. It is therefore crucial for an IoT network design to …
but always at risk of network security. It is therefore crucial for an IoT network design to …
Privacy-preserving and byzantine-robust federated learning framework using permissioned blockchain
H Kasyap, S Tripathy - Expert Systems with Applications, 2024 - Elsevier
Data is readily available with the growing number of smart and IoT devices. However,
application-specific data is available in small chunks and distributed across demographics …
application-specific data is available in small chunks and distributed across demographics …
Trustworthy federated learning via blockchain
The safety-critical scenarios of artificial intelligence (AI), such as autonomous driving,
Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI …
Internet of Things, smart healthcare, etc., have raised critical requirements of trustworthy AI …
Privacy preservation for federated learning with robust aggregation in edge computing
Benefiting from the powerful data analysis and prediction capabilities of artificial intelligence
(AI), the data on the edge is often transferred to the cloud center for centralized training to …
(AI), the data on the edge is often transferred to the cloud center for centralized training to …
A lightweight hybrid deep learning privacy preserving model for FC-based industrial internet of medical things
The Industrial Internet of Things (IIoT) is gaining importance as most technologies and
applications are integrated with the IIoT. Moreover, it consists of several tiny sensors to …
applications are integrated with the IIoT. Moreover, it consists of several tiny sensors to …
FIDChain: Federated intrusion detection system for blockchain-enabled IoT healthcare applications
Recently, there has been considerable growth in the internet of things (IoT)-based
healthcare applications; however, they suffer from a lack of intrusion detection systems …
healthcare applications; however, they suffer from a lack of intrusion detection systems …
Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection
The increase of the computational power in edge devices has enabled the penetration of
distributed machine learning technologies such as federated learning, which allows to build …
distributed machine learning technologies such as federated learning, which allows to build …
A blockchained federated learning framework for cognitive computing in industry 4.0 networks
Cognitive computing, a revolutionary AI concept emulating human brain's reasoning
process, is progressively flourishing in the Industry 4.0 automation. With the advancement of …
process, is progressively flourishing in the Industry 4.0 automation. With the advancement of …