UNCOVER: Data-Driven Design Support through Continuous Monitoring of Security Incidents

The seamless and secure integration of subsystems is a pivotal requirement within contemporary automotive development, necessitating the application of design methodologies like the Vee model. While this approach includes dedicated verification steps for the included contexts and provides a high level of assurance that the system will operate correctly under specified conditions, formalizing specifications outside its operational design domain is per definition not included. Additionally, black-box systems like machine learning based functions prove difficulty to test by these traditional methodologies. In this project, we introduce and demonstrate a design workflow combining the Vee model design paradigm with continuous data-driven software engineering. Our workflow assists the continuous, safe and secure development and improvement of consumer vehicle functionality over the product lifecycle. This is achieved through the continuous monitoring of anomalies, as well as system states that deviate from the established design domain. The UNCOVER methodology consists of a continuous reduction in the amount of necessary monitored messages and presents a methodology throughout the entirety of the product lifecycle. We demonstrate our methodology through a simulation and show our automatic generation of monitoring components, and an automated preselection of identified safety or security incidents.