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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Format: | Article |
Language: | English |
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Elsevier
2023-06-01
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Series: | High-Confidence Computing |
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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. |
first_indexed | 2024-03-13T04:05:05Z |
format | Article |
id | doaj.art-3d963c5750bf48f2a2dac5434c77e66b |
institution | Directory Open Access Journal |
issn | 2667-2952 |
language | English |
last_indexed | 2024-03-13T04:05:05Z |
publishDate | 2023-06-01 |
publisher | Elsevier |
record_format | Article |
series | High-Confidence Computing |
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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