Full metadata
Title
Towards demographic information release in LBS k-Anonymization
Description
The increasing number of continually connected mobile persons has created an environment conducive to real time user data gathering for many uses both public and private in nature. Publicly, one can envision no longer requiring a census to determine the demographic composition of the country and its sub regions. The information provided is vastly more up to date than that of a census and allows civil authorities to be more agile and preemptive with planning. Privately, advertisers take advantage of a persons stated opinions, demographics, and contextual (where and when) information in order to formulate and present pertinent offers.
Regardless of its use this information can be sensitive in nature and should therefore be under the control of the user. Currently, a user has little say in the manner that their information is processed once it has been released. An ad-hoc approach is currently in use, where the location based service providers each maintain their own policy over personal information usage.
In order to allow more user control over their personal information while still providing for targeted advertising, a systematic approach to the release of the information is needed. It is for that reason we propose a User-Centric Context Aware Spatiotemporal Anonymization framework. At its core the framework will unify the current spatiotemporal anonymization with that of traditional anonymization so that user specified anonymization requirement is met or exceeded while allowing for more demographic information to be released.
Regardless of its use this information can be sensitive in nature and should therefore be under the control of the user. Currently, a user has little say in the manner that their information is processed once it has been released. An ad-hoc approach is currently in use, where the location based service providers each maintain their own policy over personal information usage.
In order to allow more user control over their personal information while still providing for targeted advertising, a systematic approach to the release of the information is needed. It is for that reason we propose a User-Centric Context Aware Spatiotemporal Anonymization framework. At its core the framework will unify the current spatiotemporal anonymization with that of traditional anonymization so that user specified anonymization requirement is met or exceeded while allowing for more demographic information to be released.
Date Created
2014
Contributors
- Sanchez, Michael Andrew (Author)
- Ahn, Gail-Joon (Thesis advisor)
- Doupe, Adam (Committee member)
- Dasgupta, Partha (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vii, 76 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.26895
Statement of Responsibility
by Michael Andrew Sanchez
Description Source
Viewed on February 5, 2015
Level of coding
full
Note
thesis
Partial requirement for: M.S., Arizona State University, 2014
bibliography
Includes bibliographical references (p. 60-62)
Field of study: Computer science
System Created
- 2014-12-01 07:08:22
System Modified
- 2021-08-30 01:31:51
- 3 years 2 months ago
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