Result description
Anomaly Detection (AD) is a Machine Learning algorithms based component that alerts when anomalous or suspicious activities are detected. AD uses as input the logs generated by other components of SPHINX system.
Anomaly detection uses the following types of algorithms:
k-means-clustering algorithm for analysing HTTP and DNS traffic
Statistical algorithms for issues like Alien accessing too many hosts, P2P communication, Media streaming client, C&C BotNet communication.
Addressing target audiences and expressing needs
- Collaboration
N/A
- Public or private funding institutions
- Research and Technology Organisations
R&D, Technology and Innovation aspects
Anomaly Detection is currently under development. There is no business plan yet for the exploitation of the modules.
The next steps would be to discuss with the colleagues from the commercial department and to create a business plan and a selling strategy.
Anomaly Detection can be customised and perform its functions in any type of IT network.
Result submitted to Horizon Results Platform by SOFTWARE IMAGINATION & VISION SRL
