Multi-Context-aware Trust Management framework in Social Internet of Things (MCTM-SIoT)
Meriem Chiraz Zouzou, Elhadj Benkhelifa, Hisham A. Kholidy, David W Dyke · 2023
In recent years, the integration of the Social Internet of Things (SIoT) into the Internet of Things (IoT) has gained considerable attention, leading to a vast network of interconnected everyday objects. These objects generate a wealth of data that can provide valuable insights into our daily needs. Context-aware systems have emerged as intelligent systems that assist users in making service consumption choices based on their contextual information and preferences. However, the development of a context-aware trust management framework in SIoT faces a significant challenge due to the limited availability of dynamic and reliable context information from the objects users interact within their environments. To overcome this challenge, it is proposed to use contextual information obtained from IoT objects and other sources to construct a framework that establishes connections between the core modules of a SIoT environment and facilitates trustworthy inferences. This framework incorporates trust management and context information to evaluate the trustworthiness of devices, aiming to build trust among users and enhance the trustworthiness of devices.