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Towards Resilient Social IoT Sensors and Networks A Trust Management Approach

Title
Towards Resilient Social IoT Sensors and Networks [electronic resource] : A Trust Management Approach / by Subhash Sagar, Adnan Mahmood, Quan Z. Sheng.
ISBN
9783031607011
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XIV, 114 p.) 38 illus., 37 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
June 10, 2024
Series
Smart Sensors, Measurement and Instrumentation, 48
Smart Sensors, Measurement and Instrumentation, 48
Contents
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.
Citation

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