Anomaly Detection (AD)
Anomaly Detection component is based on both machine learning algorithms and statistics-based algorithms. The AD thus performs a fast and efficient analysis of packets in a network and detects unknown attacks, in part due to the rapid development of malware.
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.
Target Business Sectors / EU Policy Areas
- Business and industry
- Public health
Contribution to UN Sustainable Development Goals