DOLPHIN: A Privacy-Preserving Digital Investigation Readiness Assessment Framework based on Offline Large Language Models and Retrieval-Augmented Generation

This paper introduces DOLPHIN, a privacy-preserving framework that leverages offline large language models and retrieval-augmented generation to significantly enhance digital forensic investigation readiness by accurately assessing evidence completeness, detecting specific gaps, and reducing case preparation time while ensuring data remains local.

Original authors: Divya K