Enhanced trust management for building trustworthy social internet of things network

Internet of Things (IoT) and wireless communication technologies are evolving rapidly and changing the way we live and work. IoT devices may need to share personal information over the public network taking the help of nearby devices. Thus, the trustworthiness of nearby devices shall play an essential role in providing security and privacy assurance. The authors proposed an autonomous decentralised trust management model for selecting a trustworthy device for a requested service transaction. The proposed scheme uses the Social Internet of Things for trust management. The proposed model uses social relationships to find the level of trust among related devices, estimate the overall trust of the unknown devices, periodically update the observed trust values, and isolate the malicious nodes in the network. The evaluated trust values are updated in the network frequently so that other devices can utilise the information later. The periodic update can increase performance and detect trust-related malicious attacks. The simulation result shows that the performance of the proposed model is better as compared to existing trust management models. The proposed model can detect malicious objects at an early stage and can handle malicious attacks by isolating malicious devices. IoT devices may need to connect to unknown devices to realise ubiquitous computing in the 5G network and beyond. In such a situation, devices need to evaluate the trustworthiness of the other devices. A trust-building model using a social network of IoT devices is discussed.image