A Continuous Authentication Approach for Mobile Crowdsourcing based on Federated Learning

With the widespread use of smartphones and wearable devices, Mobile Crowdsourcing (MCS) has become a powerful method for gathering and processing data from various users. MCS offers several advantages, including improved mobility, scalability, cost-effectiveness, and the utilization of collective hu...

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Veröffentlicht in:	IEEE access 2024-11, p.1-1
Hauptverfasser:	Wazzeh, Mohamad, Ould-Slimane, Hakima, Talhi, Chamseddine, Mourad, Azzam, Guizani, Mohsen
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Authentication Continuous Authentication Crowdsourcing Data models Data privacy Feature extraction Federated Learning Mobile computing Mobile Crowdsourcing Privacy-Preserving Servers Training Transfer learning Unique Label
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