Towards a framework for engineering smart-grid-specific privacy requirements

Neureiter, Christian; Eibl, Günther; Veichtlbauer, Armin; Engel, Dominik

doi:10.1109/iecon.2013.6699912

Cited by 15 publications

(10 citation statements)

References 16 publications

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“…DATA FLOW MODEL An approach towards the modeling of use cases in the smart grid based on the European Smart Grid Reference Architecture [8] are Data Flow Graphs (DFG). Neureiter et al [3], Dänekas et al [9] and Knirsch et al [10] thoroughly discuss the application of such directed graphs to privacy assessments in the smart grid. DFGs provide a detailed view of a system on multiple layers, ranging from high-level business goals to low level interactions of components.…”

Section: Related Workmentioning

confidence: 99%

“…The analytic assessment thus involves the solving of Equation 3, given an arbitraryp in the interval [0, 1], e.g., 2 for the optimal balance. Again, the equality condition can be replaced by a greater equal or less equal condition.…”

Section: A Analytic Assessmentmentioning

confidence: 99%

“…Other examples of such use cases include smart metering for billing or automated electric vehicle charging. As these use cases rely to a great extent on personal data, security and privacy are current issues and subject to ongoing research [1], [2], [3]. Privacy aware data retrieval and processing is therefore crucial in order to meet statutory and customer requirements.…”

Section: Introductionmentioning

confidence: 99%

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Model-based assessment for balancing privacy requirements and operational capabilities in the smart grid

Knirsch

Engel

Frîncu

et al. 2015

2015 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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Abstract-The smart grid changes the way energy is produced and distributed. In addition both, energy and information is exchanged bidirectionally among participating parties. Therefore heterogeneous systems have to cooperate effectively in order to achieve a common high-level use case, such as smart metering for billing or demand response for load curtailment. Furthermore, a substantial amount of personal data is often needed for achieving that goal. Capturing and processing personal data in the smart grid increases customer concerns about privacy and in addition, certain statutory and operational requirements regarding privacy aware data processing and storage have to be met. An increase of privacy constraints, however, often limits the operational capabilities of the system. In this paper, we present an approach that automates the process of finding an optimal balance between privacy requirements and operational requirements in a smart grid use case and application scenario. This is achieved by formally describing use cases in an abstract model and by finding an algorithm that determines the optimum balance by forward mapping privacy and operational impacts. For this optimal balancing algorithm both, a numeric approximation and -if feasible -an analytic assessment are presented and investigated. The system is evaluated by applying the tool to a real-world use case from the University of Southern California (USC) microgrid.

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Section: Related Workmentioning

confidence: 99%

Section: A Analytic Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Model-based assessment for balancing privacy requirements and operational capabilities in the smart grid

Knirsch

Engel

Frîncu

et al. 2015

2015 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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“…The elicitation of the requirements used in this paper, descend from the best practise methods presented in [5]. An extension for the presented framework is proposed in [10]. This extension is enhanced by privacy approaches and quality requirements which needs to be fulfilled in the Smart Grid, as a critical infrastructure.…”

Section: Related Workmentioning

confidence: 99%

A concept for engineering smart grid security requirements based on SGAM models

et al. 2014

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Abstract-The Smart Grid Architecture Model (SGAM) is widely used for modelling, requirements engineering and gap analysis. In this paper, a formal method for engineering security requirements with SGAM is proposed. Asset security classes, risks and vulnerabilities are modelled formally and a method for deducing security requirements from these entities in the context of an SGAM model is developed. A reference implementation of this method is presented, which allows the automated extraction of security requirements from SGAM models. This set of requirements can serve as an initial starting point for a thorough security analysis. Experience from practical application demonstrates the usefulness of the proposed approach.

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“…In this section we introduce the concept of Data Flow Graphs (DFG) for the smart grid based on a model-driven design approach originally presented in [8], [18]. DFGs formally capture all aspects of use cases in the smart grid in adherence to the SGAM.…”

Section: A Data Flow Graphsmentioning

confidence: 99%

Model-driven Privacy Assessment in the Smart Grid

Knirsch

Engel

Neureiter

et al. 2015

Proceedings of the 1st International Conference on Information Systems Security and Privacy

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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.

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Towards a framework for engineering smart-grid-specific privacy requirements

Cited by 15 publications

References 16 publications

Model-based assessment for balancing privacy requirements and operational capabilities in the smart grid

Model-based assessment for balancing privacy requirements and operational capabilities in the smart grid

A concept for engineering smart grid security requirements based on SGAM models

Model-driven Privacy Assessment in the Smart Grid

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