AutoSCA: Automated vulnerability analysis of cryptographic protocols

Digitisation is increasingly finding its way into all areas of life. The escalating number of critical vulnerabilities in software development represents a significant security threat. This project explores ways to use artificial intelligence (AI) to detect vulnerabilities in software code and prevent cyber attacks.

Funding
Federal Ministry of Education and Research (BMBF)
Duration
04/2020–03/2023
Joint project with
Prof. T. Jager (University of Wuppertal), achelos GmbH (Paderborn)
Project website
Website (in German)