Model-driven Privacy Assessment in the Smart Grid

Fabian Knirsch, Dominik Engel, Christian Neureiter, Marc Frincu, Viktor Prasanna

2015

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.

Paper Citation

in Harvard Style

Knirsch F., Engel D., Neureiter C., Frincu M. and Prasanna V. (2015). Model-driven Privacy Assessment in the Smart Grid . In Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-081-9, pages 173-181. DOI: 10.5220/0005229601730181

in Bibtex Style

@conference{icissp15,
author={Fabian Knirsch and Dominik Engel and Christian Neureiter and Marc Frincu and Viktor Prasanna},
title={Model-driven Privacy Assessment in the Smart Grid},
booktitle={Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2015},
pages={173-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005229601730181},
isbn={978-989-758-081-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - Model-driven Privacy Assessment in the Smart Grid
SN - 978-989-758-081-9
AU - Knirsch F.
AU - Engel D.
AU - Neureiter C.
AU - Frincu M.
AU - Prasanna V.
PY - 2015
SP - 173
EP - 181
DO - 10.5220/0005229601730181