Title
Personal data vaults: a locus of control for personal data streams
Abstract
The increasing ubiquity of the mobile phone is creating many opportunities for personal context sensing, and will result in massive databases of individuals' sensitive information incorporating locations, movements, images, text annotations, and even health data. In existing system architectures, users upload their raw (unprocessed or filtered) data streams directly to content-service providers and have little control over their data once they "opt-in". We present Personal Data Vaults (PDVs), a privacy architecture in which individuals retain ownership of their data. Data are routinely filtered before being shared with content-service providers, and users or data custodian services can participate in making controlled data-sharing decisions. Introducing a PDV gives users flexible and granular access control over data. To reduce the burden on users and improve usability, we explore three mechanisms for managing data policies: Granular ACL, Trace-audit and Rule Recommender. We have implemented a proof-of-concept PDV and evaluated it using real data traces collected from two personal participatory sensing applications.
Year
DOI
Venue
2010
10.1145/1921168.1921191
CoNEXT
Keywords
Field
DocType
data policy,content-service provider,data custodian service,personal data vault,health data,personal context,proof-of-concept pdv,personal data stream,data stream,personal participatory,granular access control,system architecture,locus of control,access control,privacy policy,proof of concept,service provider
Data custodian,Data stream mining,World Wide Web,Computer science,Privacy policy,Usability,Upload,Computer network,Mobile phone,Information sensitivity,Participatory sensing
Conference
Citations 
PageRank 
References 
55
2.11
23
Authors
8
Name
Order
Citations
PageRank
Min Mun168037.18
Shuai Hao267923.27
Nilesh Mishra316715.62
Katie Shilton476351.86
Jeff Burke51789126.02
Deborah Estrin6253803646.75
Mark Hansen7142599.62
ramesh govindan8154302144.86