36 citations · 77 across the 16 of their papers we have counts for
16 papers
An Event-Driven Cloud-Native Wearable Analytics Framework for Real-Time Clinical Workloads
Elias Grünewald, Daniil Cherepko, Linus Gustafsson +7
Continuous physiological monitoring using consumer-grade wearables offers a transformative opportunity for clinical care and research, yet integration remains hindered by device he…
Prink: -Anonymization for Streaming Data in Apache Flink
Philip Groneberg, Saskia Nuñez von Voigt, Thomas Janke +4
In this paper, we present Prink, a novel and practically applicable concept and fully implemented prototype for ks-anonymizing data streams in real-world application architectures.…
Extending Business Process Management for Regulatory Transparency
Jannis Kiesel, Elias Grünewald
Ever-increasingly complex business processes are enabled by loosely coupled cloud-native systems. In such fast-paced development environments, data controllers face the challenge o…
Hook-in Privacy Techniques for gRPC-based Microservice Communication
Louis Loechel, Siar-Remzi Akbayin, Elias Grünewald +4
gRPC is at the heart of modern distributed system architectures. Based on HTTP/2 and Protocol Buffers, it provides highly performant, standardized, and polyglot communication acros…
Towards Cross-Provider Analysis of Transparency Information for Data Protection
Elias Grünewald, Johannes M. Halkenhäußer, Nicola Leschke +1
Transparency and accountability are indispensable principles for modern data protection, from both, legal and technical viewpoints. Regulations such as the GDPR, therefore, require…
Hawk: DevOps-driven Transparency and Accountability in Cloud Native Systems
Elias Grünewald, Jannis Kiesel, Siar-Remzi Akbayin +1
Transparency is one of the most important principles of modern privacy regulations, such as the GDPR or CCPA. To be compliant with such regulatory frameworks, data controllers must…
A Human-in-the-Loop Approach for Information Extraction from Privacy Policies under Data Scarcity
Michael Gebauer, Faraz Maschhur, Nicola Leschke +2
Machine-readable representations of privacy policies are door openers for a broad variety of novel privacy-enhancing and, in particular, transparency-enhancing technologies (TETs).…
Streamlining personal data access requests: From obstructive procedures to automated web workflows
Nicola Leschke, Florian Kirsten, Frank Pallas +1
Transparency and data portability are two core principles of modern privacy legislations such as the GDPR. From the regulatory perspective, providing individuals (data subjects) wi…
Enabling Versatile Privacy Interfaces Using Machine-Readable Transparency Information
Elias Grünewald, Johannes M. Halkenhäußer, Nicola Leschke +3
Transparency regarding the processing of personal data in online services is a necessary precondition for informed decisions on whether or not to share personal data. In this paper…
Scalable Discovery and Continuous Inventory of Personal Data at Rest in Cloud Native Systems
Elias Grünewald, Leonard Schurbert
Cloud native systems are processing large amounts of personal data through numerous and possibly multi-paradigmatic data stores (e.g., relational and non-relational databases). Fro…
Configurable Per-Query Data Minimization for Privacy-Compliant Web APIs
Frank Pallas, David Hartmann, Paul Heinrich +2
The purpose of regulatory data minimization obligations is to limit personal data to the absolute minimum necessary for a given context. Beyond the initial data collection, storage…
Datensouveränität für Verbraucher:innen: Technische Ansätze durch KI-basierte Transparenz und Auskunft im Kontext der DSGVO
Elias Grünewald, Frank Pallas
A sufficient level of data sovereignty is extremely difficult for consumers in practice. The EU General Data Protection Regulation guarantees comprehensive data subject rights, whi…
RedCASTLE: Practically Applicable -Anonymity for IoT Streaming Data at the Edge in Node-RED
Frank Pallas, Julian Legler, Niklas Amslgruber +1
In this paper, we present RedCASTLE, a practically applicable solution for Edge-based -anonymization of IoT streaming data in Node-RED. RedCASTLE builds upon a pre-existing, r…
Cloud Native Privacy Engineering through DevPrivOps
Elias Grünewald
Cloud native information systems engineering enables scalable and resilient service infrastructures for all major online offerings. These are built following agile development prac…
TIRA: An OpenAPI Extension and Toolbox for GDPR Transparency in RESTful Architectures
Elias Grünewald, Paul Wille, Frank Pallas +2
Transparency - the provision of information about what personal data is collected for which purposes, how long it is stored, or to which parties it is transferred - is one of the c…
TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering
Elias Grünewald, Frank Pallas
In this paper, we present TILT, a transparency information language and toolkit explicitly designed to represent and process transparency information in line with the requirements…