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Artificial intelligence (AI) is ideal for collecting huge amounts of data, analyzing it and reacting based on the findings. Attackers exploit these advantages to threaten IT systems. AI is therefore increasingly becoming a central component of cyber security.<\/p>\n
With the help of highly developed AI technologies, attackers can no longer just search specifically for individual, known vulnerabilities, but can also automatically explore the attack surface of IT infrastructures. In doing so, AI varies previous attack techniques and develops ways to circumvent automated protection mechanisms based on known signatures or patterns.<\/p>\n
The joint project AI.Auto-Immune aims to protect the internet and its services from AI-based attacks. The scientists will work on new methods to evaluate communication data and network flows on the Internet using AI algorithms in order to find vulnerabilities. The intelligent analysis of network services helps to identify patterns and emerging new threats at an early stage and adapt security measures accordingly. In this way, danger points can be automatically predicted and protection recommendations can be made, for example by the AI generating situation pictures of attack points for certain network areas such as internal company networks or critical infrastructures.<\/p>\n
Matthias W\u00e4hlisch, Professor of Distributed and Networked Systems at TU Dresden and network coordinator, is delighted about the project approval: “Strengthening the security of globally distributed and networked systems is extremely important and will be with us for the long term. We can only win the race against the attackers if we understand the limits of AI-based attacks on the one hand and use AI to react more flexibly and quickly to emerging threats on the other.” His team, together with the scientists from the Chair of Machine Learning for Computer Vision headed by Bj\u00f6rn Andres, will focus on the topics of “Internet measurements and clustering methods for securing Internet services”. In particular, the aim is to recognize conspicuous patterns in communication services even if they are previously unknown.<\/p>\n
“AI.Auto-Immune is not only very important for further scientific successes against AI-based attacks on the Internet. The project is also of great importance for our university as an institution and for Dresden as a science location,” emphasizes TUD Rector Prof. Ursula Staudinger and thanks the university’s participating researchers for their extraordinary commitment in this field.<\/p>\n
AI.Auto-Immune is funded by the German government’s research framework programme on IT security “Digital. Secure. Sovereign.” in the measure “Secure Future Technologies in a Hyperconnected World: Artificial Intelligence”.<\/p>\n
Prof. Matthias W\u00e4hlisch
Tel.: +49 351 463-38261
Email matthias.waehlisch@tu-dresden.de<\/p>\n
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