2020
DOI: 10.1109/tvt.2020.2975884
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Security Enhanced Content Sharing in Social IoT: A Directed Hypergraph-Based Learning Scheme

Abstract: Security is a critical element to the existing Internet of Things (IoT) deployment, where any user may actively or passively attack the content sharing of others reusing the same channel. As most smart devices are carried by human, we may leverage their owners' social trust to avoid being intercepted by untrusted users, which conforms to the Social Internet of Things (SIoT) paradigm. In this paper, we propose a secure content sharing (SCS) scheme to strike the trade-off between security and quality of experien… Show more

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Cited by 17 publications
(9 citation statements)
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References 37 publications
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“…Hyperedges denote entity relations, and each edge set shares the same source entities or target entities. Researchers utilize hypergraphs to effectively uncover correlation and the correlation patterns among entities in certain applications, such as co-authorship networks [24], communication [38], security [48], and economy [37]. Meanwhile, three kinds of illustrations [11] are introduced for the transformation of layered hypergraphs, and these illustrations have their own advantages in the performance of simplicity, efficiency, and consistency in processing times.…”
Section: Visual Causality Analysismentioning
confidence: 99%
“…Hyperedges denote entity relations, and each edge set shares the same source entities or target entities. Researchers utilize hypergraphs to effectively uncover correlation and the correlation patterns among entities in certain applications, such as co-authorship networks [24], communication [38], security [48], and economy [37]. Meanwhile, three kinds of illustrations [11] are introduced for the transformation of layered hypergraphs, and these illustrations have their own advantages in the performance of simplicity, efficiency, and consistency in processing times.…”
Section: Visual Causality Analysismentioning
confidence: 99%
“…ere was also a study aimed to ensure secure content-sharing in an IoT environment by applying ML to explore the social trust of smart device users [67,68].…”
Section: Keyword Clustering and Evolution Of Research On Iotmentioning
confidence: 99%
“…Although the problem has not been solved completely, some preliminary studies have been developed. Wang et al proposed a directed hypergraph-based learning scheme based on security enhanced content sharing in social IoT [178]. In addition, Karumba et al defined the HARB, which can be regarded as hypergraphbased adaptive consortium blockchain for decentralised energy trading [179].…”
Section: B Differential Privacy For Hypergraph Iiot Networkmentioning
confidence: 99%