TY - GEN
T1 - Anonymizing spreadsheet data and metadata with anonymousXL
AU - Van Veen, Joeri
AU - Hermans, Felienne
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84925238081&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925238081&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84925238081
VL - 1209
T3 - CEUR Workshop Proceedings
SP - 45
EP - 46
BT - SEMS 2014: Software Engineering Methods in Spreadsheets
T2 - 1st Workshop on Software Engineering Methods in Spreadsheets, SEMS 2014
Y2 - 2 July 2014
ER -