Results 31 to 40 of about 251 (91)

Design and Implementation of XGBoost‐Based Cyberattack Detection and Blockchain‐Enabled Charging Station

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
The charging station (CS) plays a crucial role in charging electric vehicles. Therefore, it is necessary to protect the CS from cyberattacks. This paper proposes an architecture for the security of the EV fleet during charging using the XGBoost model and Hyperledger Fabric to protect battery management systems (BMS) from cyberattacks.
Gaurav Kumar, Suresh Mikkili
wiley   +1 more source

Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]

MethodsX
T S, Devadas RM.
europepmc   +1 more source

A Hybrid Federated Learning Framework for Enhancing Privacy and Robustness in Non-Intrusive Load Monitoring. [PDF]

Sensors (Basel)
Rong J, Zhou Q, Wu H.
europepmc   +1 more source

Trust-Aware and Energy-Efficient Federated Learning for Secure Sensor Networks at the Edge. [PDF]

Sensors (Basel)
Reis MJCS.
europepmc   +1 more source

Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance. [PDF]

J Med Internet Res
Shahsavari Y, Baseri Y, Hafid A, Dambri OA, Makrakis D.   +4 more
europepmc   +1 more source

Forensic Support for Abraham et al.'s BB Protocol. [PDF]

Entropy (Basel)
You Q, Yang H, Zhang X, Jiang X, Guo K, Hu K.   +5 more
europepmc   +1 more source

Advanced behavioral malware detection: a comprehensive MLOps framework with federated learning and real-time drift detection. [PDF]

Front Artif Intell
El-Hajj M, Zeineddine MAJ.
europepmc   +1 more source

APB-FLDPA: Adaptive Personalized Blockchain-Federated Learning With Differential Privacy and Attention for Privacy-Preserving Healthcare Analytics. [PDF]

Healthc Technol Lett
Chowdhury MKH, Mondal PK, Mozumder MAI, Kim HC, Byeon H.   +4 more
europepmc   +1 more source

EdgeGuard-AI: Zero-Trust and Load-Aware Federated Scheduling for Secure and Low-Latency IoT Edge Networks. [PDF]

Sensors (Basel)
Alanazi AG, Alanazi HA.
europepmc   +1 more source

FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]

Sci Rep
Patel A, Tomar DS, Pateriya RK, Haripriya R.   +3 more
europepmc   +1 more source