Mobilitätsdaten nutzen – Hands-On Open Data. Ohne Mobilitätsdaten können keine innovativen Mobilitätslösungen entstehen. Doch in einem stark fragmentierten Markt ist der Zugang zu Daten eine große Herausforderung. Das Open-Data-Prinzip verspricht, dieses Hindernis zu überwinden.
A quality attribute like confidentiality is critical to trustworthy software but unfortunately, very challenging to ensure. This is because modern software systems are complex and interconnected. Architecture-based confidentiality analysis enables …
Mobilitätsdaten nutzen – Potenziale, Perspektiven, Partnerschaften Die Mobilität der Zukunft ist datenbasiert – doch wie können Mobilitätsdaten heute schon sinnvoll genutzt werden? Welche innovativen Anwendungen sind möglich, wenn unterschiedliche Akteure gemeinsam an einem Strang ziehen?
The increasing complexity of modern software systems presents developers with significant challenges regarding the confidentiality of sensitive data. To this end, data flow diagrams serve as an effective tool for identifying potential confidentiality …
Electronic toll collection (ETC) systems are becoming increasingly popular, but are inherently privacy-sensitive as they deal with users’ location data. While prior research has proposed privacy-preserving ETC (PPETC) systems, which hide the …
Enhancing the efficiency of high-quality image generation using Diffusion Models (DMs) is a significant challenge due to the iterative nature of the process. Flow Matching (FM) is emerging as a powerful generative modeling paradigm based on a …
Anonymization plays a key role in protecting sensible information of individuals in real world datasets. Self-driving cars for example need high resolution facial features to track people and their viewing direction to predict future behaviour and …
Today’s software systems have become increasingly connected and complex, requiring comprehensive analysis to ensure quality properties like confidentiality. Architecture-based confidentiality analysis enables the early identification of …
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Selfish mining attacks threaten the tamper-resistance of blockchain systems with consensus mechanisms based on proof-of-work and probabilistic finality. Optimizing blockchain system configurations can mitigate these attacks. This, however, requires …
The adoption of Homomorphic Encryption (HE) and Secure Function Evaluation (SFE) applications in the real world remains limited, even nearly 50 years after the introduction of HE. This is particularly unfortunate given the strong privacy and …
Data flow diagrams are commonly used in system design to represent data processing and exchange. They are valuable in security analysis due to their applicability in assessing information security-related properties like confidentiality. However, …