METHOD AND SYSTEM FOR LEARNING REPRESENTATIONS OF NETWORK FLOW TRAFFIC

摘要

Disclosed is an improved method, system (100), and computer program product for learning representations or embeddings of network flow traffic. The disclosed invention operates on network flow data which are then used as inputs to a deep-learning architecture (110) that learns to embed the data into a vector space.