Abstract
The fact that pervasive systems are typically embedded and invisible makes it difficult for users to know when, where, and how these devices are collecting data. So privacy is a major issue for pervasive computing applications and several privacy models have been proposed for pervasive environments. In this paper we present the evaluation of a XML based User-centered Privacy Model (UPM) and measure this model unobtrusiveness and discuss privacy policies' expressiveness, and user control over private information. We show that the model provides content, identity, location, and time privacy with low unobtrusiveness while privacy policies are highly expressive and support mandatory and discretionary rules, context sensitivity, uncertainty handling, and conflict resolution.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
