Reference : Reactive Security for Smart Grids Using Models@run.time-Based Simulation and Reasoning
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/16762
Reactive Security for Smart Grids Using Models@run.time-Based Simulation and Reasoning
English
Hartmann, Thomas mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Fouquet, François mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Klein, Jacques mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Nain, Grégory mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Le Traon, Yves mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Apr-2014
Proceedings of the Second Open EIT ICT Labs Workshop on Smart Grid Security (SmartGridSec14)
Yes
Second Open EIT ICT Labs Workshop on Smart Grid Security (SmartGridSec'14)
26-02-2014
Munich
Germany
[en] Models@Runtime ; Reactive Security ; Reasoning Engine ; Smart Grid ; Model-Driven Engineering ; Meta-Modeling
[en] Smart grids leverage modern information and communication technology to offer new perspectives to electricity consumers, producers, and distributors. However, these new possibilities also increase the complexity of the grid and make it more prone to failures. Moreover, new advanced features like remotely disconnecting meters create new vulnerabilities and make smart grids an attractive target for cyber attackers. We claim that, due to the nature of smart grids, unforeseen attacks and failures cannot be effectively countered relying solely on proactive security techniques. We believe that a reactive and corrective approach can offer a long-term solution and is able to both minimize the impact of attacks and to deal with unforeseen failures. In this paper we present a novel approach combining a Models@run.time-based simulation and reasoning engine with reactive security techniques to intelligently monitor and continuously adapt the smart grid to varying conditions in near real-time.
http://hdl.handle.net/10993/16762
The research leading to this publication is supported by the National Research Fund Luxembourg (grant 6816126) and Creos Luxembourg S.A. under the SnT-Creos partnership program.

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