A detailed study on trust management techniques for security and privacy in IoT: challenges, trends, and research directions

The Internet of Things is a modern technology that is directed at easing human life by automating most of the things used in daily life. The never-ending dependency on the network for communication is attracting adversaries to exploit the vulnerabilities of IoT. Therefore, this technology is facing...

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Main Authors: Himani Tyagi, Rajendra Kumar, Santosh Kr Pandey
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:High-Confidence Computing
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667295223000259
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author Himani Tyagi
Rajendra Kumar
Santosh Kr Pandey
author_facet Himani Tyagi
Rajendra Kumar
Santosh Kr Pandey
author_sort Himani Tyagi
collection DOAJ
description The Internet of Things is a modern technology that is directed at easing human life by automating most of the things used in daily life. The never-ending dependency on the network for communication is attracting adversaries to exploit the vulnerabilities of IoT. Therefore, this technology is facing some serious issues and challenges concerning security and privacy. These issues and challenges are the real motivation behind considering this study. Hence, this survey includes a discussion about security and privacy challenges as well as available solutions for IoT based wireless sensor networks. This systematic literature review (SLR) focuses particularly on a popular and applicable security approach known as Trust Management System (TMS). Firstly, all aspects of trust management, including trust indicators, trust properties, trust evaluation, trust building, trust models and the importance of those models for security and privacy, trust prediction methodologies, and ultimately trust-based attacks, are covered in this literature. Secondly, trust management schemes are classified into four groups based on the methodology used for trust-based security solutions in the IoT: cryptography-based, computational and probabilistic-based, information theory-based, and others. Then, an understanding of the problems and difficulties with current methodologies is given, along with suggestions for further research. Finally, the SLR is concluded by formulating the desirable characteristics of a trust management system in the IoT and proposing a trust model suitable for IoT networks.
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spelling doaj.art-3d963c5750bf48f2a2dac5434c77e66b2023-06-21T07:01:30ZengElsevierHigh-Confidence Computing2667-29522023-06-0132100127A detailed study on trust management techniques for security and privacy in IoT: challenges, trends, and research directionsHimani Tyagi0Rajendra Kumar1Santosh Kr Pandey2Department of Computer Science, Jamia Millia Islamia, New Delhi 110025, India; Corresponding author.Department of Computer Science, Jamia Millia Islamia, New Delhi 110025, IndiaDepartment of EC&IT, Meity, New Delhi 110003, IndiaThe Internet of Things is a modern technology that is directed at easing human life by automating most of the things used in daily life. The never-ending dependency on the network for communication is attracting adversaries to exploit the vulnerabilities of IoT. Therefore, this technology is facing some serious issues and challenges concerning security and privacy. These issues and challenges are the real motivation behind considering this study. Hence, this survey includes a discussion about security and privacy challenges as well as available solutions for IoT based wireless sensor networks. This systematic literature review (SLR) focuses particularly on a popular and applicable security approach known as Trust Management System (TMS). Firstly, all aspects of trust management, including trust indicators, trust properties, trust evaluation, trust building, trust models and the importance of those models for security and privacy, trust prediction methodologies, and ultimately trust-based attacks, are covered in this literature. Secondly, trust management schemes are classified into four groups based on the methodology used for trust-based security solutions in the IoT: cryptography-based, computational and probabilistic-based, information theory-based, and others. Then, an understanding of the problems and difficulties with current methodologies is given, along with suggestions for further research. Finally, the SLR is concluded by formulating the desirable characteristics of a trust management system in the IoT and proposing a trust model suitable for IoT networks.http://www.sciencedirect.com/science/article/pii/S2667295223000259TrustTrust management approachesIoTSecurityPrivacyReliability
spellingShingle Himani Tyagi
Rajendra Kumar
Santosh Kr Pandey
A detailed study on trust management techniques for security and privacy in IoT: challenges, trends, and research directions
High-Confidence Computing
Trust
Trust management approaches
IoT
Security
Privacy
Reliability
title A detailed study on trust management techniques for security and privacy in IoT: challenges, trends, and research directions
title_full A detailed study on trust management techniques for security and privacy in IoT: challenges, trends, and research directions
title_fullStr A detailed study on trust management techniques for security and privacy in IoT: challenges, trends, and research directions
title_full_unstemmed A detailed study on trust management techniques for security and privacy in IoT: challenges, trends, and research directions
title_short A detailed study on trust management techniques for security and privacy in IoT: challenges, trends, and research directions
title_sort detailed study on trust management techniques for security and privacy in iot challenges trends and research directions
topic Trust
Trust management approaches
IoT
Security
Privacy
Reliability
url http://www.sciencedirect.com/science/article/pii/S2667295223000259
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