A new process model for text string searching

Abstract

Investigations involving digital media (e.g., hard disks and USB thumb drives) rely heavily on text string searches. Traditional search approaches utilizing matching algorithms or database technology and treebased indexing algorithms result in an overwhelming number of "hits" - a large percentage of which are irrelevant to investigative objectives. Furthermore, current approaches predominantly employ literal search techniques, which lead to poor recall with respect to investigative objectives. A better approach is needed that reduces information retrieval overhead and improves investigative recall. This paper proposes a new, high-level text string search process model that addresses some of the shortfalls in current text string search paradigms. We hope that this model will stimulate efforts on extending information retrieval and text mining research to digital forensic text string searching. © 2007 International Federation for Information Processing.