Towards Resilient Social IoT Sensors and Networks : A Trust Management Approach / by Subhash Sagar, Adnan Mahmood, Quan Z. Sheng.

Format:

Book

Author/Creator:

Sagar, Subhash.

Contributor:

Mahmood, Adnan.

Sheng, Quan Z.

Series:

Smart Sensors, Measurement and Instrumentation, 2194-8410 ; 48

Language:

English

Subjects (All):

Internet of things.

Materials.

Detectors.

Machine learning.

Internet of Things.

Sensors and biosensors.

Machine Learning.

Local Subjects:

Internet of Things.

Sensors and biosensors.

Machine Learning.

Physical Description:

1 online resource (126 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

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.

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.

Other Format:

Print version: Sagar, Subhash Towards Resilient Social IoT Sensors and Networks

ISBN:

9783031607011