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COMBINING SOCIAL AUTHENTICATION AND UNTRUSTED CLOUDS FOR PRIVATE LOCATION SHARING

Adams, Andrew K. (2016) COMBINING SOCIAL AUTHENTICATION AND UNTRUSTED CLOUDS FOR PRIVATE LOCATION SHARING. Master's Thesis, University of Pittsburgh. (Unpublished)

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Abstract

With the advent of GPS-enabled smartphones, location-sharing services (LSSs) have emerged that share data collected through those mobile devices. However, research has shown that many users are uncomfortable with LSS operators managing their location histories, and that the ease with which contextual data can be shared with unintended audiences can lead to regrets that sometimes outweigh the benefits of these systems. In an effort to address these issues, we have developed SLS: a secure location sharing system that combines location-limited channels, multi-channel key establishment, and untrusted cloud storage to hide user locations from LSS operators while also limiting unintended audience sharing. In addition to describing the key agreement and location- sharing protocols used by the architecture, we discuss an iOS implementation of SLS that enables location sharing at tunable granularity through an intuitive policy interface on the user’s mobile device.

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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Adams, Andrew K.Adams.Andrew.K@gmail.com
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairLee, Adam J.adamlee@cs.pitt.eduADAMLEE
Committee MemberMossé, Danielmosse@cs.pitt.eduMOSSE
Committee MemberZnati, Taiebznati@cs.pitt.eduZNATI
Date: 27 January 2016
Date Type: Publication
Defense Date: 20 November 2015
Approval Date: 27 January 2016
Submission Date: 25 November 2015
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 44
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Key Management; Location Tracking; Presence Systems; Privacy; Security.
Date Deposited: 27 Jan 2016 16:47
Last Modified: 15 Nov 2016 14:31
URI: http://d-scholarship.pitt.edu/id/eprint/26472

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