Crystal ball DDoS detectionStarted in July 2020
This project aims to investigate whether new DDoS attacks can be predicted before they have an actual impact. This is similar to dealing with tsunami alerts. The idea is to achieve this by analysing public and private data using AI techniques.
In the Explore phase, the project team has looked at challenging and innovative methods to pick up early signals of application-based DDoS attacks on the basis of probe detection. This seems promising, has been proven to be innovative based on literature study and external contacts, but it is not yet certain that this will yield a good result. That makes this project even more attractive to continue within the PCSI.
In the Pilot phase, a Minimum Viable Product (MVP) to predict upcoming attacks is being developed and tested on available DDoS datasets.
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