LAUSR

The rapid advancements in the field of Internet and Social Networks have brought us to the edge of a real-time connected world. As a result, a new paradigm named Social Internet of Things (SIoT) is born. In SIoT, social network merges with the Internet of Things (IoT) to facilitate information and resource sharing among devices in an improved way. Devices seek and provide information among their friends or friends-of-friends. However, the users of this fascinating paradigm meet with issues such as trust and privacy. Hence, trust assessment becomes one of the primary challenges. Existing trust assessment schemes in SIoT are mostly based on the trust of a service provider. The application of such schemes is related to the process of service discovery. However, the ability of a service to act maliciously is overlooked. Literature from related fields shows that services are also capable of acting maliciously. Inspired by that, we aim to define a trustworthiness assessment scheme that is based on trust of service. The application of this scheme is related to the process of service selection. To the best of our knowledge, this is a novel proposition in SIoT. A parameter named Service Trust is proposed. This parameter is mathematically modeled by aggregation of multiple Quality of Service (QoS) parameters. A real-world bike-sharing company dataset is used for evaluation of the proposed scheme. The results attained after analysis are positive. Finally, the conclusion and future work are presented.