The compliance with data protection and privacy regulations such as the European General Data Protection Regulation (GDRP) is a challenging task for companies with complex IT landscapes. Current approaches lack of a technical integration with enterprise software systems and therefore require considerable manual effort to keep permissions and retention of data in line with data protection and privacy requirements. We propose an integrated information model to link data privacy requirements with software systems, modules and data to address this problem with the help of Information Lifecycle Management (ILM) functionality. The approach is illustrated with a use case of the compliant deletion of employee data upon fulfillment of the stated purpose.
Advances in Human Factors in Cybersecurity: Proceedings of the AHFE 2017 International Conference on Human Factors in Cybersecurity, July 17−21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA
%0 Book Section
%1 Zinke2018
%A Zinke, Christian
%A Anke, Jürgen
%A Meyer, Kyrill
%A Schmidt, Johannes
%B Advances in Human Factors in Cybersecurity: Proceedings of the AHFE 2017 International Conference on Human Factors in Cybersecurity, July 17−21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA
%C Cham
%D 2018
%E Nicholson, Denise
%I Springer International Publishing
%K group_ccsd language_english schmidt zinke
%P 87--96
%R 10.1007/978-3-319-60585-2_10
%T Modeling, Analysis and Control of Personal Data to Ensure Data Privacy -- A Use Case Driven Approach
%U http://dx.doi.org/10.1007/978-3-319-60585-2_10
%X The compliance with data protection and privacy regulations such as the European General Data Protection Regulation (GDRP) is a challenging task for companies with complex IT landscapes. Current approaches lack of a technical integration with enterprise software systems and therefore require considerable manual effort to keep permissions and retention of data in line with data protection and privacy requirements. We propose an integrated information model to link data privacy requirements with software systems, modules and data to address this problem with the help of Information Lifecycle Management (ILM) functionality. The approach is illustrated with a use case of the compliant deletion of employee data upon fulfillment of the stated purpose.
%@ 978-3-319-60585-2
@inbook{Zinke2018,
abstract = {The compliance with data protection and privacy regulations such as the European General Data Protection Regulation (GDRP) is a challenging task for companies with complex IT landscapes. Current approaches lack of a technical integration with enterprise software systems and therefore require considerable manual effort to keep permissions and retention of data in line with data protection and privacy requirements. We propose an integrated information model to link data privacy requirements with software systems, modules and data to address this problem with the help of Information Lifecycle Management (ILM) functionality. The approach is illustrated with a use case of the compliant deletion of employee data upon fulfillment of the stated purpose.},
added-at = {2017-07-13T10:26:31.000+0200},
address = {Cham},
author = {Zinke, Christian and Anke, Jürgen and Meyer, Kyrill and Schmidt, Johannes},
biburl = {https://www.bibsonomy.org/bibtex/288b23a5079486054b5693db9fe61f821/sesat},
booktitle = {Advances in Human Factors in Cybersecurity: Proceedings of the AHFE 2017 International Conference on Human Factors in Cybersecurity, July 17−21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA},
doi = {10.1007/978-3-319-60585-2_10},
editor = {Nicholson, Denise},
interhash = {d55e0300b109bd1b56f52b9b54d5aada},
intrahash = {88b23a5079486054b5693db9fe61f821},
isbn = {978-3-319-60585-2},
keywords = {group_ccsd language_english schmidt zinke},
pages = {87--96},
publisher = {Springer International Publishing},
timestamp = {2017-08-16T12:56:00.000+0200},
title = {Modeling, Analysis and Control of Personal Data to Ensure Data Privacy -- A Use Case Driven Approach},
type = {Publication},
url = {http://dx.doi.org/10.1007/978-3-319-60585-2_10},
year = 2018
}