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Title Social Internet Of Tings Trust Management Based On Implicit Social Relationship
ID_Doc 52002
Authors Zhang H.; Fan F.; Zhao D.; Liu B.; Wang Y.; Liu J.
Year 2023
Published Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 496 LNICST
DOI http://dx.doi.org/10.1007/978-3-031-30623-5_9
Abstract The “Social Internet of Things (SIoT)” is a combination of the Internet of Things (IoT) and social networks to form a new paradigm. The SIoT promotes the development of smart cities, smart transportation, and many other fields. In SIoT, the openness and mobility of objects are enhanced. However, this tends to lead to network data sparsity problems. By distinguishing explicit and implicit social relationships, we introduce an implicit social relationship-based trust management model (IRTM) for reliable service delivery in SIoT. IRTM establishes implicit social relationships among nodes by mining their latent characteristics and trust transitivity. It models SIoT by creating sub-networks for each social relationship as a way to fuse the impact of different types of social relationships on trust management. To address the problem of malicious attacks by malicious nodes in the network to protect their interests, it considers two metrics, node relationship strength, and recommendation reliability, to filter malicious recommendations. Experiments conducted in the presence of data sparsity and malicious objects show that IRTM can improve the accuracy and convergence of trust evaluation compared to other methods that ignore implicit social relationships when computing trust. In addition, our scheme can improve resistance to trust-related attacks. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
Author Keywords Implicit Social Relationship; Malicious Attack; Multiple Social Relationships; Social Internet of Things; Trust Management


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