A Bayesian Network Schema for Lessening Database Inference
LiWu Chang, Ira S. Moskowitz · 2001
"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. We 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.