IoT Security: From Context-based Authentication to Secure Federated Learning Anomaly Detection

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Alternative title: IoT-Sicherheit: Von kontextbasierter Authentifizierung bis hin zur sicheren Anomalieerkennung im föderierten Lernen

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Darmstadt, Technische Universität Darmstadt, Dissertation, 2024

Keyword: Kryptoanalyse
Computersicherheit
Internet der Dinge
Authentifikation
Datensicherung
Internet

Event: Veröffentlichung

(where): Darmstadt

(who): Universitäts- und Landesbibliothek

(when): 2024

Creator: Thien, Duc Nguyen

Contributor: Sadeghi, Ahmad-Reza
Asokan, N.

DOI: 10.26083/tuprints-00028827

URN: urn:nbn:de:tuda-tuprints-288271

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:30 AM CEST

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Thien, Duc Nguyen
Sadeghi, Ahmad-Reza
Asokan, N.
Universitäts- und Landesbibliothek

Time of origin

2024

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IoT Security: From Context-based Authentication to Secure Federated Learning Anomaly Detection

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Other Objects (12)

Model for adaptable context-based biometric authentication for mobile devices

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Retraction Note: Blockchain managed federated learning for a secure IoT framework

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Anonymous and robust biometric authentication scheme for secure social IoT healthcare applications

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A Fully Privacy-Preserving Solution for Anomaly Detection in IoT using Federated Learning and Homomorphic Encryption

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Anonymous and robust biometric authentication scheme for secure social IoT healthcare applications

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A Fully Privacy-Preserving Solution for Anomaly Detection in IoT using Federated Learning and Homomorphic Encryption

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Blockchain managed federated learning for a secure IoT framework

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Retraction Note: Blockchain managed federated learning for a secure IoT framework

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Anonymous and robust biometric authentication scheme for secure social IoT healthcare applications

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