Docx Anonymizer is a stand-alone Java tool to anonymize OOXML Documents (docx). This software helps to make docx documents compliant to General Data Protection Regulation 2016/679 (GDPR).
The suffix core helps to distinguish it from DocxAnonymizer-spark. Both software perform the same tasks, but DocxAnonymizer-core can work only on a single machine, whereas DocxAnonymizer-spark can work either locally or on a cluster with Apache Spark.
The default branch fast contains the most optimized code.
Given a complex and rich-formatted docx file, the program extrapolates all the text, it anonymizes its content and then it saves a new docx without altering its original structure and layout.
Nominatives (i.e. sequences of names and surnames) are replaced with anonymous IDs and multiple occurrences of the same nominatives are replaced with the same ID.
The detection of the nominatives can be either on demand or automatic. In fact, the user can express as input the sequences of names-surname to anonymize; in case these sequences are not given, the program automatically starts searching for nominatives in the document using dictionaries of Italian and English names. A pattern-based approach is adopted to detect nominatives. Here is my thesis for further details.
In brief, the program accepts the following options:
-i <inputFile> [the docx input file to anonymize]
-o <outputFile> [the docx output file generated, if not expressed given by default]
-m <minimize> [the file with names and surnames to minimize. It must contain one expression per line of the form: "<name1>:<name2>:[...]:<nameN>;<surname>", if not expressed the program will perform automatic detection of nominatives]
-kn <keepNames> [the file with names and surnames to keep unchanged (no minimization). It must contain one expression per line of the form: "<name1>:<name2>:[...]:<nameN>;<surname>"]
-ke <keepExpr> [the file with those expressions to be kept unchanged (not nominatives)]
-d <debug> [increase verbosity]
In this repository you can also find an useful bash script to view and modify XML parts of a docx file and a summary of docx standard ECMA-376 documentation easy to navigate in a web browser after you have downloaded it (its index.html).
DocxAnonymizer leverage the docx4j library.
This project was the case study of my bachelor's thesis.