A Matrix Factorization Model for Hellinger-Based Trust Management in Social Internet of Things

Aalibagi, Soroush; Pourreza, Hamid Reza; Movaghar, Ali; Stanley, H. Eugene

doi:10.1109/tdsc.2021.3052953

Cited by 21 publications

(9 citation statements)

References 55 publications

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“…It is proposed in (Aalibagi et al, 2021) to use Hellinger distance which builds a social network of trustors as an innovative trust administration method in the S-IoT using the trustor's experiences and the opinions of its friends. The trustworthiness value of a trustee is predicted.…”

Section: Trust Management In S-iotmentioning

confidence: 99%

A Comprehensive Survey on Security, Trust Management and Privacy Preservation for Social-Internet-of-Things (S-IoT)

Rahul¹,

Venkatesh²,

Venugopal³

2023

Journal of Computer Science

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The Social Internet of Things (S-IoT) is a new paradigm that evolved with a convergence of social networking concepts and internet of things concepts. This paradigm helps develop intelligent devices and services with higher utility. The new paradigm enriches the social interaction between human's objects, heterogenous social objects interaction, the discovery of service and scalability. In recent years, S-IoT has been researching a hot topic and has drawn the attention of researchers, resulting in research on trust management, privacy preservation, service provisioning and security mechanisms. However, S-IoT faces new research challenges like interoperability, trustworthiness, security threats, scalability, navigability, service discovery and composition. In line with the research trend, this article provides a systematic survey of fundamental concepts of S-IoT and IoT, distinguishable characteristics of S-IoT and IoT and research challenges in S-IoT. This survey thoroughly reviews secure communication mechanisms, privacy-preservation techniques and the trust-evaluation model in S-IoT. Furthermore, we accentuate the privacy-preservation mechanism proposed in the literature for seven years and explored research areas. The holistic survey gives an overview of trust-evaluation models with respect to the service provider's perspective. This article overviews secure communication protocols and architecture in the S-IoT context. Finally, various research gaps, applications of S-IoT and research directions help a researcher to carry out research work in S-IoT.

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Section: Trust Management In S-iotmentioning

confidence: 99%

A Comprehensive Survey on Security, Trust Management and Privacy Preservation for Social-Internet-of-Things (S-IoT)

Rahul¹,

Venkatesh²,

Venugopal³

2023

Journal of Computer Science

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“…In extracting latent features of nodes, identifying trustworthy nodes, and mitigating the data sparsity and cold start issues [91].…”

Section: Matrix Factorizationmentioning

confidence: 99%

“…The studies are represented by their reference numbers. Hybrid/ Semi-Centralized [81], [82], [84], [46], [88], [95], [112], [114], [115], [119] [79], [63], [85], [86], [87], [7], [89], [90], [91], [92], [93], [94], [95], [96], [98], [99], [100], [101], [58], [102], [103], [104], [77], [105], [106], [107], [108], [109], [110], [111], [78], [113], [114] [132], [133] [71], [80], [83], [97]…”

Section: ) Trust Values Propagation Schemementioning

confidence: 99%

“…[79], [63], [80], [81], [83], [84], [46], [85], [86], [87], [7], [88], [89], [90], [91], [92], [94], [95], [96], [97], [98], [99], [100], [58], [102], [103], [104], [77], [107], [108], [109], [110], [111], [78], [112], [113], [71], [114], [115]…”

Section: Number Of Research Studiesunclassified

“…,[96],[108],[111],[113], [122], [123],[131] 2020[56],[58],[77],[87],[89],[90],[92],[93],[98],[102],[104],[105],[106],[107], [118], [126] 2021[91],[101],[110],[112],[114],[115], [116], [119], [124], [125], [127], [130] 2022 [97], [109], [117], [120], [128], [129], [132], [133]…”

mentioning

confidence: 99%

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Trust Management in Social Internet of Things (SIoT): A Survey

et al. 2022

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A survey on trust management in the Social Internet of Things (SIoT) is provided, beginning with a discussion of SIoT architectures and relationships. Using a variety of publication databases, we describe efforts that focus on various trust management aspects of SIoT . Trust management models comprise three themes: trust computation, aggregation, and updates. Our study presents a detailed discussion of all three steps. Trust computation and trust aggregation depend upon Trust Attributes (TAs) for the calculation of local and global trust values. Our paper discusses many strategies for aggregating trust, but "Weighted Sum" is the most frequently used in the relevant studies. Our paper addresses trust computation and aggregation scenarios. Our work classifies research by TAs (Social Trust, Quality of Service). We've categorized the research (reputation-based, recommendation-based, knowledge-based) depending on the types of feedback/opinions used to calculate trust values (global feedback/opinion, feedback from a friend, trustor's own opinion considering the trustee's information). Our work classifies studies (policy-based, prediction-based, weighted sum-based/weighted linear combination-based) by trust computation/aggregation approach. Two trust-update schemes are discussed: time-driven and event-driven schemes, while most trust management models utilize an event-driven scheme. Both trust computation and aggregation need propagating trust values in a centralized, decentralized, or semi-centralized way. Our study covers classifying research by trust updates and propagation techniques. Trust models should provide resiliency to SIoT attacks. This analysis classifies SIoT attacks as collaborative or individual. We also discuss scenarios depicted in the relevant studies to incorporate resistance against trust-related attacks in SIoT. Studies suggest context-based or context-free trust management strategies. Our study categorizes studies based on context-based or contextfree approaches. To gain the benefits of an immutable, privacy-preserving approach, a future trust management system should utilize Blockchain technology to support non-repudiation and tracking of trust relationships.

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