Paper Info
Title
Data-Privacy Assessments for Application Landscapes: A Methodology.
Abstract
Data privacy is a major issue for companies today. Risks can come from external attacks or from internal users disclosing sensitive data to the public. In the latter case, restricting user access to data mitigates the risk. Thanks to role-based access models, users see only the data that they need for their work. This paper presents a methodology for assessing how effective such restrictions are. It is based on classifying data, analyzing access paths, and understanding the impact of design principles. Its special contribution is its end-to-end view. It is applicable directly to complex IT landscapes being the norm today.
Year
DOI
Venue
2011
10.1007/978-3-642-28115-0_38
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Information Systems,Privacy,Testing
Design elements and principles,Data science,Information system,Computer science,Norm (social),Information privacy,Data access,Process management
Conference
Volume
ISSN
Citations 
100
1865-1348
0
PageRank 
References 
Authors
0.34
15
1
Name
Order
Citations
PageRank
Klaus Haller1475.22