Machine Learning-empowered Intrusion Detection using Honeypot’s data (MLID)
Result Type
ICT Software Digital solution
Lead Developer
Keywords
Decision Making, Intrusion Detection, Machine Learning, Deep Learning, Honeypots
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.
Result Type
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
June 29, 2021