On Trust Recommendations in the Social Internet of Things – A Survey

Marius Becherer; Omar Khadeer Hussain; Yu Zhang; Frank den Hartog; Elizabeth Chang

doi:10.1145/3645100

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On Trust Recommendations in the Social Internet of Things – A Survey

Journal article

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On Trust Recommendations in the Social Internet of Things – A Survey

Marius Becherer, Omar Khadeer Hussain, Yu Zhang, Frank den Hartog and Elizabeth Chang

ACM Computing Surveys, Vol.56(6), pp.1-35

2024

DOI: https://doi.org/10.1145/3645100

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Abstract

Computer systems organization

Computing methodologies

Distributed systems security

Knowledge representation and reasoning

Security and privacy

Self-organizing autonomic computing

Surveys and overviews

The novel paradigm Social Internet of Things (SIoT) improves the network navigability, identifies suitable service providers, and addresses scalability concerns. Ensuring trustworthy collaborations among devices is a key aspect in SIoT and can be realized through trust recommendations. However, the outcome of trust recommendations depends on multiple factors related to the context-dependent nature of SIoT and practical constraints brought by the devices and networks embedded in the SIoT. While the existing literature has proposed numerous trust recommendation models to assess the trustworthiness of devices in various scenarios, researchers have not sufficiently examined the required features for trust recommendations in the SIoT. Consequently, trust recommendation models may inaccurately assess the true risk of device interactions. In this literature survey, we investigate the context-dependent features and recommendation methods used for the SIoT using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. We propose a novel taxonomy to categorize trust recommendation models according to their input features and design. Our findings reveal limited attention is given to the context-dependent features, constraints of the information environment, and limited inference capabilities that impede more precise trust recommendations. Finally, we present the research gaps and outline future directions to enable trustworthy inter-domain operations within the SIoT.

Details

Title: On Trust Recommendations in the Social Internet of Things – A Survey
Authors: Marius Becherer - UNSW Canberra
Omar Khadeer Hussain - UNSW Canberra
Yu Zhang - UNSW Canberra
Frank den Hartog - UNSW Canberra
Elizabeth Chang - Griffith University
Publication details: ACM Computing Surveys, Vol.56(6), pp.1-35
Publisher: Association for Computing Machinery
Date published: 2024
DOI: 10.1145/3645100
ISSN: 1557-7341
Grant note: The work has been supported by the Cyber Security Research Centre Limited, whose activities are partially funded by the Australian Government’s Cooperative Research Centres Programme
Organisation Unit: School of Science, Technology and Engineering
Language: English
Record Identifier: 991223830402621
Output Type: Journal article

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