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Towards resilient social IoT sensors and networks = a trust management approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards resilient social IoT sensors and networks/ by Subhash Sagar, Adnan Mahmood, Quan Z. Sheng.
Reminder of title:	a trust management approach /
Author:	Sagar, Subhash.
other author:	Mahmood, Adnan.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiv, 114 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Internet of things. -
Online resource:	https://doi.org/10.1007/978-3-031-60701-1
ISBN:	9783031607011

Towards resilient social IoT sensors and networks = a trust management approach /
Sagar, Subhash.

Towards resilient social IoT sensors and networksa trust management approach /[electronic resource] :by Subhash Sagar, Adnan Mahmood, Quan Z. Sheng. - Cham :Springer Nature Switzerland :2024. - xiv, 114 p. :ill. (some col.), digital ;24 cm. - Smart sensors, measurement and instrumentation,v. 482194-8410 ;. - Smart sensors, measurement and instrumentation ;v. 48..

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.

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.

ISBN: 9783031607011

Standard No.: 10.1007/978-3-031-60701-1doiSubjects--Topical Terms:

2057703
Internet of things.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

Towards resilient social IoT sensors and networks = a trust management approach /
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245 1 0 $a Towards resilient social IoT sensors and networks $h [electronic resource] : $b a trust management approach / $c by Subhash Sagar, Adnan Mahmood, Quan Z. Sheng.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xiv, 114 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Smart sensors, measurement and instrumentation, $x 2194-8410 ; $v v. 48
505 0 $a 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.
520 $a 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.
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700 1 $a Mahmood, Adnan. $3 3717664
700 1 $a Sheng, Quan Z. $3 1097306
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