Machine Learning-empowered Intrusion Detection using Honeypot’s data (MLID)

Result Type

ICT Software Digital solution

Lead Developer

AiDEAS

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