Abstract
Privacy is becoming a urgent issue in information systems nowadays because of the stringent requirements imposed by data protection regulations. Traditional security approaches based on access control and authorization are not adequate to address these requirements. The underlying fundamental problem is that those approaches are preventive and thus they are not able to deal with exceptions. In this paper, we present a practical privacy framework that shifts the problem of preventing infringements into a problem of detecting infringements. The framework is based on systematic log auditing, use of patterns and privacy metrics to detect and quantify infringements.
| Translated title of the contribution | Privacy Analysis of User Behavior Using Alignments |
|---|---|
| Original language | German |
| Pages (from-to) | 255-260 |
| Number of pages | 6 |
| Journal | IT - Information Technology |
| Volume | 55 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2013 |
Bibliographical note
Publisher Copyright:© 2013 by Walter de Gruyter Berlin Boston 2013 Dieser Beitrag stellt ein praktisch umsetzbares Datenschutzrahmenwerk vor, welches auf die nachträgliche Entdeckung von Verstoen fokussiert. Der Ansatz basiert auf der systematischen Analyse von Ereignislogs und dient sowohl der Entdeckung als auch der Quantifizierung der Verstoen.