Anonymizing spreadsheet data and metadata with anonymousXL

Joeri Van Veen, Felienne Hermans

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In spreadsheet risk analysis, we often encounter spreadsheets that are confidential. This might hinder adoption of spread- sheet analysis tools, especially web-based ones, as users do not want to have their confidential spreadsheets analyzed. To address this problem, we have developed AnonymousXL, an Excel plugin that makes spreadsheets anonymous with two actions: 1) remove all sensitive metadata and 2) obfus- cate all spreadsheet data within the Excel worksheets such that it resembles, untraceably, the original values.

Original languageEnglish
Title of host publicationSEMS 2014: Software Engineering Methods in Spreadsheets
Subtitle of host publicationProceedings of the First Workshop on Software Engineering Methods in Spreadsheets
Pages45-46
Number of pages2
Volume1209
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event1st Workshop on Software Engineering Methods in Spreadsheets, SEMS 2014 - Delft, Netherlands
Duration: 2 Jul 2014 → …

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
ISSN (Print)1613-0073

Conference

Conference1st Workshop on Software Engineering Methods in Spreadsheets, SEMS 2014
CountryNetherlands
CityDelft
Period2/07/14 → …

Fingerprint Dive into the research topics of 'Anonymizing spreadsheet data and metadata with anonymousXL'. Together they form a unique fingerprint.

Cite this