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Item type:Publication, Access status: without files , Provably privacy-preserving distributed data aggregation in smart grids(Springer, 2020-06-18); ; ; ; The digitalization of power systems leads to a significant increase of energy consumers and generators with communication capabilities. Using data of such devices allows for a more efficient grid operation, e.g., by improving the balancing of power demand and supply. Fog Computing is a paradigm that enables efficient aggregation and processing of the measurements provided by energy consumers and generators. However, the introduction of these techniques is hindered by missing trust in the data protection, especially for personal-related data such as electric consumption. To resolve this conflict, we propose a privacy-preserving concept for the hierarchical aggregation of distributed data based on additive secret-sharing. To increase the trust towards the system, we model the concept and provide a formal proof of its confidentiality properties. We discuss the attacker models of colluding and non-colluding adversaries on the data flow and show how our scheme mitigates these attacks.Publicationtype: Conference Paper123 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Automatically proving purpose limitation in software architecturesThe principle of purpose limitation is one of the corner stones in the European General Data Protection Regulation. Automatically verifying whether a software architecture is capable of collecting, storing, or otherwise processing data without a predefined, precise, and valid purpose, and more importantly, whether the software architecture allows for re-purposing the data, greatly helps designers, makers, auditors, and customers of software. In our case study, we model the architecture of an existing medical register that follows a rigid Privacy by Design approach and assess its capability to process data only for the defined purposes. We demonstrate the process by verifying one instance that satisfies purpose limitation and two that are at least critical cases. We detect a violation scenario where data belonging to a purpose-specific consent are passed on for a different and maybe even incompatible purpose.Publicationtype: Conference Paper266 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , A numerical bifurcation analysis of continuous fluidized bed spray granulation with external product classification(2006-10); ; ; ; Nonlinear oscillations in continuous fluidized bed spray granulation with external product classification are analyzed. Using methods from numerical bifurcation analysis the size and location of the instability regions in the space of the design parameters and the adjustable operating parameters are predicted and discussed. The analysis is based on a new relatively simple population balance model, which is formulated on a mass basis, and provides first qualitative insights into the nonlinear dynamic behavior of continuous fluidized bed spray granulation processes.Publicationtype: Journal Article17