A Retrieval Framework and Implementation for Electronic Documents with Similar Layouts
This addresses a specific gap in digital forensics for investigators handling large document volumes, though it is incremental as it builds on existing document similarity research by focusing on visual layouts.
The paper tackles the problem of finding relevant electronic documents in digital forensics when metadata is unavailable and keyword searches miss documents with similar layouts but different content, by developing a framework and tool for retrieving Microsoft OOXML files with similar visual layouts, demonstrating its utility in a real case for supplementing traditional keyword searches.
As the number of digital documents requiring investigation increases, it has become more important to identify relevant documents to a given case. There have been continual demands for finding relevant files in order to overcome this kind of issues. Regarding finding similar files, there can be a situation where there is no available metadata such as timestamp, file size, title, subject, template, author, etc. In this situation, investigators will focus on searching document files having specific keywords related to a given case. Although the traditional keyword search with elaborate regular expressions is useful for digital forensics, there is a possibility that closely related documents are missing because they have totally different body contents. In this paper, we introduce a recent actual case on handling large amounts of document files. This case suggests that similar layout search will be useful for more efficient digital investigations if it can be utilized appropriately for supplementing results of the traditional keyword search. Until now, research involving electronic-document similarity has mainly focused on byte streams, format structures and body contents. However, there has been little research on the similarity of visual layouts from the viewpoint of digital forensics. In order to narrow this gap, this study demonstrates a novel framework for retrieving electronic document files having similar layouts, and implements a tool for finding similar Microsoft OOXML files using user-controlled layout queries based on the framework.