Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2013
Abstract
Crowdsourcing platforms such as Amazon Mechanical Turk and Google Consumer Surveys can profile users based on their inputs to online surveys. In this work we first demonstrate how easily user privacy can be compromised by collating information from multiple surveys. We then propose, develop, and evaluate a crowdsourcing survey platform called Loki that allows users to control their privacy loss via atsource obfuscation.
Keywords
Obfuscation, Privacy, Surveys
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the ACM CoNEXT Student Workshop; Santa Barbara, CA; United States; 2013 December 9.
First Page
13
Last Page
15
ISBN
9781450325752
Identifier
10.1145/2537148.2537150
Publisher
ACM
City or Country
Santa Barbara, USA
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2537148.2537150