An obfuscation framework for controlling value of information during sharing

Sensory information is characterized by its inherent quality and context-specific value. It is thus natural that the information provider would want to exercise control over the information shared based on her perception of the risk of possible misuse due to sharing and also depending on the consume...

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Bibliographic Details
Main Authors: Chakraborty, S., Raghavan, K. R., Srivastava, M. B., Bisdikian, C., Kaplan, L. M.
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Data privacy
Feature extraction
Feature Sharing
Inference algorithms
Mutual information
Privacy
Utility
Value of Information
Online Access:Request full text
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Summary:Sensory information is characterized by its inherent quality and context-specific value. It is thus natural that the information provider would want to exercise control over the information shared based on her perception of the risk of possible misuse due to sharing and also depending on the consumer requirements. To attain this utility vs. risk trade-off, information is subjected to varying but deliberate quality modifying transformations which we term as obfuscation. In this paper, treating privacy as the primary motivation for information control, we highlight initial considerations of using feature sharing as an obfuscation mechanism to control the inferences possible from shared sensory data. We provide results from an activity tracking scenario to illustrate the use of feature selection in identifying the various trade-off points.
ISSN:2373-0803
2693-3551
DOI:10.1109/SSP.2012.6319647