Self-adaptive trust management model for social IoT services

Abidi, Rihab; Azzouna, Nadia Ben

doi:10.1109/isncc52172.2021.9615856

Cited by 5 publications

(9 citation statements)

References 15 publications

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“…To determine the trust of one node as perceived by another node based on TAs [86], [87], [98], [99], [115].…”

Section: Scenariosmentioning

confidence: 99%

“…Time-Driven [63], [80], [81], [82], [84], [85], [87], [7], [89], [90], [95], [96], [97], [102], [103], [106], [109], [110], [78], [112], [114], [115] [132], [133] [79], [86], [88], [98], [100], [101],…”

Section: Classification Of Studies On the Basis Of Trust Update Schem...unclassified

“…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%

“…In [115], a novel methodology for assessing the trustworthiness of nodes and identifying the most reliable SP is proposed. SPs are filtered based on contextual information from recommendations and QoS in order to reduce trust calculation time and identify the most reliable service provider.…”

Section: B Brief Description Of the Relevant Studiesmentioning

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

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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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“…To determine the trust of one node as perceived by another node based on TAs [86], [87], [98], [99], [115].…”

Section: Scenariosmentioning

confidence: 99%

Section: Classification Of Studies On the Basis Of Trust Update Schem...unclassified

Section: ) Trust Values Propagation Schemementioning

confidence: 99%

Section: B Brief Description Of the Relevant Studiesmentioning

confidence: 99%

Section: Number Of Research Studiesunclassified

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

et al. 2022

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A Survey of Trust Management for Internet of Things

Konsta,

Lafuente,

Dragoni

2023

IEEE Access

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Internet of Things (IoT) is a network of devices that communicate with each other through the internet and provide intelligence to industry and people. These devices are running in potentially hostile environments, so the need for security is critical. Trust management aims to ensure the reliability of the network by assigning a trust value to every node, indicating its trust level. In this paper, we systematically review and analyze the current state of the art in trust management appraoches for IoT. We provide a classification into nine categories based on the tools, methods, and technologies used to form trust management techniques (collect information for trust formation, compute, and store the trust values). We also discuss the limitations and strengths of each category, as well as the open challenges and future research directions. We aim to help the reader understand the current challenges of the field, design a solid trust management system, and navigate through the literature.

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