Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Cloud based privacy preserving collaborative business process management

 
: Schwarzbach, Björn; Franczyk, Bogdan; Petrich, Lucas; Schier, Arkadius; Ten Hompel, Michael

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
16th IEEE International Conference on Computer and Information Technology, CIT 2016. Proceedings : 6th International Symposium on Cloud and Service Computing (SC2-2016); 3rd International Conference on Internet of Vehicles (IOV 2016); 2nd IEEE International Symposium on Security and Privacy in Social Networks and Big Data (IEEE SocialSec 2016); 7-10 December 2016, Nadi, Fiji
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2016
ISBN: 978-1-5090-4314-9
ISBN: 978-1-5090-4315-6
pp.716-723
International Conference on Computer and Information Technology (CIT) <16, 2016, Nadi/Fiji>
International Symposium on Cloud and Service Computing (SC2) <6, 2016, Nadi/Fiji>
International Conference on Internet of Vehicles (IOV) <3, 2016, Nadi/Fiji>
International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec) <2, 2016, Nadi/Fiji>
English
Conference Paper
Fraunhofer IML ()
cloud; Business Process Management (BPM); Cloud Computing; CC

Abstract
Through the outstanding efficiency and the general success of cloud computing, cloud-innovations have become an everyday part of the industry. Almost every company has defined business processes to organize its business. The next logical step is to bring business processes to the cloud to exploit the benefits of the cloud and to enable the companies to collaborate with each other in one business process. Such collaborations demand for outstanding privacy and security that has to be provable easily at every time. Every company needs to be able to define its own privacy policies and wants to be able to monitor the compliance with these policies. In this paper we present an approach for privacy preserving cloud based collaborative business process management including an architecture and a privacy modeling approach. We evaluate the architecture and the presented privacy modelling approach by a use-case from the logistics domain and show their feasibility.

: http://publica.fraunhofer.de/documents/N-442132.html