Trust Management in Social Internet of Things (SIoT): A Survey
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 compris...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9917502/ |
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| author | Sana Alam Shehnila Zardari Shaheena Noor Shakil Ahmed Haralambos Mouratidis |
| author_facet | Sana Alam Shehnila Zardari Shaheena Noor Shakil Ahmed Haralambos Mouratidis |
| author_sort | Sana Alam |
| collection | DOAJ |
| description | 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 context-free 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. |
| format | Article |
| id | doaj-art-6a5c6dad3cd448e5ab699b306dbc40b1 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-6a5c6dad3cd448e5ab699b306dbc40b12025-01-15T00:01:14ZengIEEEIEEE Access2169-35362022-01-011010892410895410.1109/ACCESS.2022.32136999917502Trust Management in Social Internet of Things (SIoT): A SurveySana Alam0https://orcid.org/0000-0002-7461-6874Shehnila Zardari1https://orcid.org/0000-0002-0525-3336Shaheena Noor2Shakil Ahmed3Haralambos Mouratidis4Department of Computer Science and Information Technology, NEDUET, Karachi, PakistanDepartment of Software Engineering, NEDUET, Karachi, PakistanDepartment of Computer Engineering, Syed University of Engineering and Technology (SSUET), Karachi, PakistanDepartment of Computer Engineering, Syed University of Engineering and Technology (SSUET), Karachi, PakistanInstitute for Analytics and Data Science, University of Essex, Colchester, U.KA 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 context-free 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.https://ieeexplore.ieee.org/document/9917502/Social Internet of ThingsSIoTtrustarchitectureattacksfuture direction |
| spellingShingle | Sana Alam Shehnila Zardari Shaheena Noor Shakil Ahmed Haralambos Mouratidis Trust Management in Social Internet of Things (SIoT): A Survey IEEE Access Social Internet of Things SIoT trust architecture attacks future direction |
| title | Trust Management in Social Internet of Things (SIoT): A Survey |
| title_full | Trust Management in Social Internet of Things (SIoT): A Survey |
| title_fullStr | Trust Management in Social Internet of Things (SIoT): A Survey |
| title_full_unstemmed | Trust Management in Social Internet of Things (SIoT): A Survey |
| title_short | Trust Management in Social Internet of Things (SIoT): A Survey |
| title_sort | trust management in social internet of things siot a survey |
| topic | Social Internet of Things SIoT trust architecture attacks future direction |
| url | https://ieeexplore.ieee.org/document/9917502/ |
| work_keys_str_mv | AT sanaalam trustmanagementinsocialinternetofthingssiotasurvey AT shehnilazardari trustmanagementinsocialinternetofthingssiotasurvey AT shaheenanoor trustmanagementinsocialinternetofthingssiotasurvey AT shakilahmed trustmanagementinsocialinternetofthingssiotasurvey AT haralambosmouratidis trustmanagementinsocialinternetofthingssiotasurvey |