Balancing Value and Risk in Information Sharing Through Obfuscation

Abstract

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's 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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 20, 2012
Accession Number
ADA565915

Entities

People

  • Chatschik Bisdikian
  • Kasturi R. Raghavan
  • Lance Kaplan
  • Supriyo Chakraborty

Organizations

  • IBM Thomas J. Watson Research Center

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accelerometers
  • Accuracy
  • Algorithms
  • Classification
  • Computer Access Control
  • Consumers
  • Databases
  • Dimensionality Reduction
  • Feature Selection
  • Governments
  • Information Exchange
  • Information Processing
  • Information Science
  • Machine Learning
  • Military Research
  • Mobile Devices
  • Mobile Phones

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy