Karlsruher Institut für Technologie

Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models

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 …

Designing Automotive Case Studies for Architectural Security Analyses

Digitalization is one of the biggest drivers of advancements in the modern automotive domain. The resulting increase in communication is leading to a more intensive exchange of data and the opening up of for merly closed systems. This raises …

Mobility Data Anonymization – A Literature Review and an Industry-Driven Survey

The transformation of mobility is on the cusp of a significant shift,driven by data-centric technologies in both individual and public transport. However, this data often contains sensitive private data, which can be used, for instance, for tracking …

Architecture-based Attack Path Analysis for Identifying Potential Security Incidents

Analyzing attacks and potential attack paths can help to identify and avoid potential security incidents. Manually estimating an attack path to a targeted software element can be complex since a software system consists of multiple vulnerable …

Tool-Supported Architecture-Based Data Flow Analysis for Confidentiality

Through the increasing interconnection between various systems, the need for confidential systems is increasing. Confidential systems share data only with authorized entities. However, estimating the confidentiality of a system is complex, and …