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Taxonomy for information privacy metrics
KTH, School of Information and Communication Technology (ICT), Computer and Systems Sciences, DSV.
2011 (English)In: Journal of International Commercial Law and Technology, ISSN 1901-8401, Vol. 6, no 4, 194-206 p.Article in journal (Refereed) Published
Abstract [en]

A comprehensive privacy framework is essential for the progress of the information privacy field. Some practical implications of a comprehensive framework are laying foundation for building information privacy metrics and having fruitful discussions. Taxonomy is an essential step in building a framework. This research study attempts to build taxonomy for the information privacy domain based on empirical data. The classical grounded theory approach introduced by Glaser was applied and incidents reported by the International Association of Privacy Professionals (IAPP) are used for building the taxonomy. These incidents include privacy related current research works, data breaches, personal views, interviews, and technological innovations. TAMZAnalyzer, an open source qualitative data analysis tool, was used in coding, keeping memos, sorting, and creating categories. The taxonomy is presented in seven themes and several categories including legal, technical, and ethical aspects. The findings of this study helps practitioners understand and discuss the subjects and academia work toward building a comprehensive framework and metrics for the information privacy domain.

Place, publisher, year, edition, pages
2011. Vol. 6, no 4, 194-206 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-150737Scopus ID: 2-s2.0-80053304527OAI: oai:DiVA.org:kth-150737DiVA: diva2:745676
Note

QC 20140911

Available from: 2014-09-11 Created: 2014-09-09 Last updated: 2014-09-11Bibliographically approved

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