Confidentiality-Preserving Data Publishing for Credulous Users by Extended Abduction

TL;DR

This paper addresses the challenge of protecting confidential data during publishing by leveraging extended abduction within extended disjunctive logic programs, considering the impact of credulous reasoning.

Contribution

It introduces a novel approach using extended abduction to ensure confidentiality in data publishing, accounting for credulous non-monotonic reasoning effects.

Findings

Extended abduction effectively preserves confidentiality.

Credulous reasoning influences confidentiality strategies.

The approach offers a formal framework for confidentiality in logic programs.

Abstract

Publishing private data on external servers incurs the problem of how to avoid unwanted disclosure of confidential data. We study a problem of confidentiality in extended disjunctive logic programs and show how it can be solved by extended abduction. In particular, we analyze how credulous non-monotonic reasoning affects confidentiality.