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Towards Resilient Social IoT Sensors and Networks A Trust Management Approach

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Beschreibung

This book, at first, explores the evolution of the IoT to SIoT and offers a comprehensive understanding of SIoT and trust management vis-à-vis SIoT. It subsequently envisages trust quantification models by employing key SIoT-specific trust features, including SIoT relationships (e.g., friendships, working...

Beschreibung

This book, at first, explores the evolution of the IoT to SIoT and offers a comprehensive understanding of SIoT and trust management vis-à-vis SIoT. It subsequently envisages trust quantification models by employing key SIoT-specific trust features, including SIoT relationships (e.g., friendships, working relationships, and community-of-interest), direct observations, and indirect observations, to augment the idea of trust quantification of a SIoT object. Furthermore, diverse trust aggregation techniques, i.e., conventional weighted sum, machine learning, and artificial neural networks, are proposed so as to address the challenges of the trust aggregation. Finally, the book outlines the future research directions for emphasizing the importance of trustworthiness management in the evolving notion of the SIoT.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.06.2025

Abbildungen

XIV, 114 p. 38 illus., 37 illus. in color.

Verlag Springer

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.06.2025

Abbildungen

XIV, 114 p. 38 illus., 37 illus. in color.

Verlag Springer
Seitenzahl

114

Maße (L/B/H)

23,5/15,5/0,8 cm

Gewicht

207 g

Sprache

Englisch

ISBN

978-3-031-60703-5

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Towards Resilient Social IoT Sensors and Networks

  • Introduction.- Understanding the Trustworthiness Management in the SIoT Network.- Towards Trust Quantification in the SIoT Network.- A Machine Learning based Trust Computational Heuristic for the SIoT Network.- Towards Trustworthy Object Classification in the SIoT Network.- Summary and Future Directions of the Book.