Author(s)

Jian Liu ¹, Lingkang Kong ¹, Huihui Yang ¹, Yingchao Wang ¹

Affiliation(s)

¹ Xinjiang College of Science and Technology, Korla, 841000, China

Corresponding Author

Huihui Yang

ABSTRACT

In the process of secure interaction in the Social Internet of Things (SIoT), there is a lack of dynamic flexibility in user trust and insufficient authorization accuracy. This paper proposes an access control model based on SIoT activity and trust (SA-TBAC).The model introduces social relations for SIoT trust evaluation and adaptive weight function to dynamically adjust user trust. Bayesian decision theory is introduced in the authorization decision process, and the object authorization process is regarded as a binary classification problem for the selection of execution decision results. An access control model combining SIoT trust and user behavior trust is established. The experimental results show that the dynamic adjustment of user trust in the interaction cycle increases the accuracy and flexibility of model authorization, improves the success rate of interaction in the cycle, and optimizes the interaction environment  compared with other access control models in SIoT.

KEYWORDS

Social Internet of Things; Trust; Activity; Access control; Bayesian authorization; Fine-grained

CITE THIS PAPER

Jian Liu, Lingkang Kong, Huihui Yang, Yingchao Wang, Adaptive Access Control Model Based on Activity and Trust in Social Internet of Things. Journal of Artificial Intelligence Practice (2025) Vol. 8: 28-38. DOI: http://dx.doi.org/10.23977/jaip.2025.080204.

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