Visible to the public Biblio

Filters: Keyword is Visualization application domains  [Clear All Filters]
2022-06-07
Graham, Martin, Kukla, Robert, Mandrychenko, Oleksii, Hart, Darren, Kennedy, Jessie.  2021.  Developing Visualisations to Enhance an Insider Threat Product: A Case Study. 2021 IEEE Symposium on Visualization for Cyber Security (VizSec). :47–57.
This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly functional, was limited in its ability to allow analysts to easily spot the patterns and outliers that visualisation naturally reveals. We describe the design and development process, proceeding from initial tasks/requirements gathering, understanding the platform’s data formats, the rationale behind the visualisations’ design, and then refining the prototype through gathering feedback from representative domain experts who are also current users of the software. Through a number of example scenarios, we show that the visualisation can support the identified tasks and aid analysts in discovering and understanding potentially risky insider activity within a large user base.
2022-02-25
Schreiber, Andreas, Sonnekalb, Tim, Kurnatowski, Lynn von.  2021.  Towards Visual Analytics Dashboards for Provenance-driven Static Application Security Testing. 2021 IEEE Symposium on Visualization for Cyber Security (VizSec). :42–46.
The use of static code analysis tools for security audits can be time consuming, as the many existing tools focus on different aspects and therefore development teams often use several of these tools to keep code quality high and prevent security issues. Displaying the results of multiple tools, such as code smells and security warnings, in a unified interface can help developers get a better overview and prioritize upcoming work. We present visualizations and a dashboard that interactively display results from static code analysis for “interesting” commits during development. With this, we aim to provide an effective visual analytics tool for code security analysis results.