DocumentCode
188027
Title
User-Driven Privacy Enforcement for Cloud-Based Services in the Internet of Things
Author
Henze, Martin ; Hermerschmidt, Lars ; Kerpen, Daniel ; Haussling, Roger ; Rumpe, Bernhard ; Wehrle, Klaus
Author_Institution
Commun. & Distrib. Syst., RWTH Aachen Univ., Aachen, Germany
fYear
2014
fDate
27-29 Aug. 2014
Firstpage
191
Lastpage
196
Abstract
Internet of Things devices are envisioned to penetrate essentially all aspects of life, including homes and urban spaces, in use cases such as health care, assisted living, and smart cities. One often proposed solution for dealing with the massive amount of data collected by these devices and offering services on top of them is the federation of the Internet of Things and cloud computing. However, user acceptance of such systems is a critical factor that hinders the adoption of this promising approach due to severe privacy concerns. We present UPECSI, an approach for user-driven privacy enforcement for cloud-based services in the Internet of Things to address this critical factor. UPECSI enables enforcement of all privacy requirements of the user once her sensitive data leaves the border of her network, provides a novel approach for the integration of privacy functionality into the development process of cloud-based services, and offers the user an adaptable and transparent configuration of her privacy requirements. Hence, UPECSI demonstrates an approach for realizing user-accepted cloud services in the Internet of Things.
Keywords
Internet of Things; cloud computing; data privacy; Internet of Things; UPECSI; cloud computing; cloud-based services; privacy functionality; user-driven privacy enforcement; Access control; Cloud computing; Data privacy; Medical services; Monitoring; Privacy; Cloud Computing; Development; Internet of Things; Model-driven; Privacy; Services; User-acceptance;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Internet of Things and Cloud (FiCloud), 2014 International Conference on
Conference_Location
Barcelona
Type
conf
DOI
10.1109/FiCloud.2014.38
Filename
6984194
Link To Document