The Community for Technology Leaders
2015 International Conference on Information Systems Security and Privacy (ICISSP) (2015)
Angers, France
Feb. 9, 2015 to Feb. 11, 2015
ISBN: 978-1-4673-8405-6
pp: 1-9
Fabian Knirsch , Josef Ressel Center for User-Centric Smart Grid Privacy, Security and Control, Salzburg University of Applied Sciences, Urstein Sued 1, A-5412 Puch/Salzburg, Austria
Dominik Engel , Josef Ressel Center for User-Centric Smart Grid Privacy, Security and Control, Salzburg University of Applied Sciences, Urstein Sued 1, A-5412 Puch/Salzburg, Austria
Cristian Neureiter , Josef Ressel Center for User-Centric Smart Grid Privacy, Security and Control, Salzburg University of Applied Sciences, Urstein Sued 1, A-5412 Puch/Salzburg, Austria
Marc Frincu , Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, U.S.A.
Viktor Prasanna , Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, U.S.A.
ABSTRACT
In a smart grid, data and information are transported, transmitted, stored, and processed with various stakeholders having to cooperate effectively. Furthermore, personal data is the key to many smart grid applications and therefore privacy impacts have to be taken into account. For an effective smart grid, well integrated solutions are crucial and for achieving a high degree of customer acceptance, privacy should already be considered at design time of the system. To assist system engineers in early design phase, frameworks for the automated privacy evaluation of use cases are important. For evaluation, use cases for services and software architectures need to be formally captured in a standardized and commonly understood manner. In order to ensure this common understanding for all kinds of stakeholders, reference models have recently been developed. In this paper we present a model-driven approach for the automated assessment of such services and software architectures in the smart grid that builds on the standardized reference models. The focus of qualitative and quantitative evaluation is on privacy. For evaluation, the framework draws on use cases from the University of Southern California microgrid.
INDEX TERMS
Privacy, Smart grids, Ontologies, Security, Data privacy, Flow graphs, Biological system modeling
CITATION

F. Knirsch, D. Engel, C. Neureiter, M. Frincu and V. Prasanna, "Model-driven privacy assessment in the smart grid," 2015 International Conference on Information Systems Security and Privacy (ICISSP), Angers, France, 2015, pp. 1-9.
doi:
444 ms
(Ver 3.3 (11022016))