NTSC: a novel trust-based service computing scheme in social internet of things

Recently, data-based services have played a significant role in satisfying various of requirements of people in social IoT. Since data is the basis of data-based service, therefore, it is significant to obtain trust data to enhance trust services. Few researches optimized trust issue of services from this point of view before. Therefore, based on this domain, this paper proposes a novel service computing framework to fundamentally form trust-based services via trust-based data in the social IoT, which mainly consists of two schemes. Data trustworthy is relevant to trustworthy of data providers in the social networks, therefore, we propose a trust evaluation scheme to compute trustworthy for data providers with assistance of trusted static sensor devices in edge computing, that comprehensively computes trustworthy by considering both temporal and quality factors. This process ensures to generate trust services from data source. Then, to improve precision of service evaluation in the updating process, a trust-based service evaluation scheme is proposed to compute service evaluation by fully considering trustworthy of users, which consists of two evaluation phases, local and global evaluation respectively. Finally, extensive experiment is conducted to validate efficiencies of the proposed scheme. Compared to traditional scheme, data trustworthiness can be improved by 26.4% and thus service trustworthy is improved by 26.4% accordingly. The precision of service evaluation is improved by 20.79%.