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.
Addressing target audiences and expressing needs
- Collaboration
Collaboration with organisations that can provide additional data to facilitate the development of version 2 of the solution.
- Public or private funding institutions
- Research and Technology Organisations
R&D, Technology and Innovation aspects
Finalise demonstrator use case and evaluation. Then develop version 2 of the solution.
Currently our ML-empowered Intrusion detection solution targets four different network attack types. This can be expanded in future versions to encompass additional attack vectors that will allow for enlarging the possible customer segments.
The solution can be a part of the cybersecurity IT infrastructure in any organisation.
The the proposed ML-empowered Intrusion detection solution is an add-on to the existing tools of the cybersecurity IT infrastructure in any organisation. Therefore we are not intending to replace existing tools but provide value by selling and integrating our add-on tool with the existing security tools of an organisation.
- Europe
