Balancing Value and Risk In Information Sharing Through Obfuscation

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Provided by: IBM
Topic: Big Data
Format: PDF
Fast-paced data-to-decision systems are heavily dependent on the reliable sharing of sensor-derived information. At the same time a diverse collection of sensory information providers would want to exercise control over the information shared based on their perception of the risk of possible misuse due to sharing and also depending on the consumer requirements. In this paper, treating privacy as the primary motivation for information control, the authors highlight initial considerations of using feature sharing as an obfuscation mechanism to control the inferences possible from shared sensory data.
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