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San Francisco, CA
May 23, 2013 to May 24, 2013
ISBN: 978-1-4799-0458-7
pp: 28-33
ABSTRACT
Inference control is a modern topic in data usage management, especially in the context of data-centric business models. However, it is generally not well understood how protection mechanisms could be designed to protect the users. The contributions of this paper are threefold: firstly, it describes the inference problem and relate it to protection mechanisms; secondly, it reports on a simple mechanism to provide a-priori inference protection; thirdly, it discusses on the drawbacks of sucha mechanism, as well as on the acceptance it had on a preliminary, controlled field study. In particular, the study shows that, contrary to our expectations, participants prefer an a-posteriori approach based upon audits to detect whether inferences happened.
INDEX TERMS
Preventive inference control; Data usage management; Data privacy
CITATION
Rafael Accorsi, Guenter Mueller, "Preventive Inference Control in Data-centric Business Models", SPW, 2013, 2013 IEEE CS Security and Privacy Workshops (SPW2013), 2013 IEEE CS Security and Privacy Workshops (SPW2013) 2013, pp. 28-33, doi:10.1109/SPW.2013.25
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