Machine Learning-empowered Intrusion Detection using Honeypot’s data (MLID)
One of the main advantages of the proposed ML-empowered Intrusion detection solution is its ability to identify zero-day attacks without relying on a signature database but following a data-driven approach.
The Automated Intrusion detection solution transforms multi-dimensional network traffic data generated from honeypots into an actionable and easy-to-understand indicator for security experts. To achieve this, the solution relies on state-of-the-art data mining algorithms and the latest advances in machine learning and deep learning networks.
Target Business Sectors / EU Policy Areas
- Business and industry
- Research and innovation
Contribution to UN Sustainable Development Goals