Document matcher for cheating detection

Microsoft Word documents automatically record metadata in XML format that can be used to understand how they were composed and by whom. For example, rsid (Revision Identifier for Style Definition) codes/tags are generated when documents are opened and closed, and when they are edited (runs of writing, deletions, etc). The chances of two documents prepared independently having the same rsid code is about 1 in a billion, and documents having about 6070% or more tags in common probably have substantial common authorship (Crockett, 2022). in an academic/university setting, documents with matching rsid codes can be evidence of cheating or collusion. It is extremenly labour-intensive to manually attempt to find and match rsid codes between two Word documents. However, this process could be automated in a program. Therefore, this project seeks to create a program that will compare the rsid codes within multiple word documents for matches that would not be expected by chance as a cheating investigation tool.

Client


Contact: A/Prof Guy Curtis
Phone: 64883365
Email: [email protected]
Preferred contact: Email
Location: UWA

IP Exploitation Model


The IP exploitation model requested by the Client is: An agreement to joint exploitation of any IP that is created


Department of Computer Science & Software Engineering
The University of Western Australia
Last modified: 12 July 2024
Modified By: Michael Wise 		UWA