Trust in Social-Sensor Cloud Service

Aamir, T, Dong, H and Bouguettaya, A 2018, 'Trust in Social-Sensor Cloud Service', in Proceedings of the 2018 IEEE International Conference on Web Services (ICWS 2018), San Francisco, United States, 2-7 July 2018, pp. 359-362.

Document type: Conference Paper
Collection: Conference Papers

Title Trust in Social-Sensor Cloud Service
Author(s) Aamir, T
Dong, H
Bouguettaya, A
Year 2018
Conference name ICWS 2018
Conference location San Francisco, United States
Conference dates 2-7 July 2018
Proceedings title Proceedings of the 2018 IEEE International Conference on Web Services (ICWS 2018)
Publisher IEEE
Place of publication United States
Start page 359
End page 362
Total pages 4
Abstract 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.
Subjects Global Information Systems
DOI - identifier 10.1109/ICWS.2018.00061
Copyright notice © 2018 IEEE
ISBN 9781538672471
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Created: Fri, 14 Dec 2018, 16:06:00 EST by Catalyst Administrator
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