An Agent-Based Approach to Inference Prevention Distributed Database Systems

Abstract

We propose an inference prevention agent as a tool that enables each of the databases in a distributed system to keep track of probabilistic dependencies with other databases and then use that information to help preserve the confidentiality of sensitive data. This is accomplished with minimal sacrifice of the performance and survivability gains that are associated with distributed database systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA465154

Entities

People

  • Ira S. Moskowitz
  • James Tracy
  • Liwu Chang

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Blood Transfusions
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  • Database Management Systems
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Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML