Standard

Anonymizing spreadsheet data and metadata with anonymousXL. / Van Veen, Joeri; Hermans, Felienne.

In: CEUR Workshop Proceedings, Vol. 1209, 2014, p. 45-46.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Van Veen, J & Hermans, F 2014, 'Anonymizing spreadsheet data and metadata with anonymousXL' CEUR Workshop Proceedings, vol. 1209, pp. 45-46.

APA

Van Veen, J., & Hermans, F. (2014). Anonymizing spreadsheet data and metadata with anonymousXL. CEUR Workshop Proceedings, 1209, 45-46.

Vancouver

Van Veen J, Hermans F. Anonymizing spreadsheet data and metadata with anonymousXL. CEUR Workshop Proceedings. 2014;1209:45-46.

Author

Van Veen, Joeri ; Hermans, Felienne. / Anonymizing spreadsheet data and metadata with anonymousXL. In: CEUR Workshop Proceedings. 2014 ; Vol. 1209. pp. 45-46.

BibTeX

@article{c8388b08f13d4620bbbeebc849040a98,
title = "Anonymizing spreadsheet data and metadata with anonymousXL",
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.",
author = "{Van Veen}, Joeri and Felienne Hermans",
year = "2014",
language = "English",
volume = "1209",
pages = "45--46",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",

}

RIS

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

VL - 1209

SP - 45

EP - 46

JO - CEUR Workshop Proceedings

T2 - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

ER -

ID: 45796200