TY - JOUR
T1 - Anonymizing spreadsheet data and metadata with anonymousXL
AU - Van Veen, Joeri
AU - Hermans, Felienne
PY - 2014
Y1 - 2014
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://ceur-ws.org/Vol-1209/
M3 - Article
AN - SCOPUS:84925238081
SN - 1613-0073
VL - 1209
SP - 45
EP - 46
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
ER -