2018 IEEE International Conference on Web Services (ICWS) (2018)
San Francisco, CA, USA
Jul 2, 2018 to Jul 7, 2018
We propose a new social-sensor cloud services trust model. We propose to represent social media data streams, i.e., images' meta-data and related posted information, as social-sensor cloud services. Images' meta-data and the related posted information are abstracted as the functional and non-functional aspects of the social-sensor cloud services. The trustworthiness of a social-sensor cloud service is measured based on the users' stance based trust model. We use the textual features of the social-sensor cloud services, i.e., comments and meta-data, e.g., spatio-temporal information to gather the trust-rate of the service. Analytical results are presented to show the performance of the proposed model with real datasets.
cloud computing, feature extraction, meta data, social networking (online), text analysis, trusted computing, Web services
T. Aamir, H. Dong and A. Bouguettaya, "Trust in Social-Sensor Cloud Service," 2018 IEEE International Conference on Web Services (ICWS), San Francisco, CA, USA, 2018, pp. 359-362.