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 …
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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 …
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, …
The Palladio approach enables software architects to create architectural models of their systems for early cost, performance, and maintainability analysis. Using a data flow-based confidentiality analysis, it is also possible to detect …
Identifying confidentiality violations is challenging as modern software-intensive systems exchange and store large amounts of data, and system deployment and context vary. Although modelbased analyses can identify such violations already at design …