A Bayesian Network Schema for Lessening Database Inference

Abstract

"Database inference" occurs when unauthorized users infer sensitive information from publicly released data. To protect against such "inference attacks," information that is probabilistically related to sensitive information must be examined and perhaps modified. The authors introduce a formal schema for database inference analysis, based upon a Bayesian network structure, which identifies critical parameters involved in the inference problem and represents them in a coherent framework.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA462301

Entities

People

  • Ira S. Moskowitz
  • Liwu Chang

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Bayesian Networks
  • Blood Transfusions
  • Data Sets
  • Databases
  • Depression
  • Digital Data
  • Digital Information
  • Hepatitis
  • Information Operations
  • Military Research
  • Models
  • Network Science
  • Networks
  • Probability
  • Relational Databases

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Cybersecurity.
  • Systems Analysis and Design

Technology Areas

  • AI & ML