Optimizations of Flow-based Behavior Recognition System within Hi-speed Network

Since the endless new networking applications and security issues, it´s urgent for governments, corporations and ISPs to identify, classify and control the network flows. Comparing with DPI technologies, flow-based behavior recognition has advantages of continuity and extensibility, but has the problems of scalability, efficiency and coordination which greatly restrict its implementation in high-speed core network. Base on related research and experiments, this paper presents optimizations to improve the performance of time and space of flow-based behavior recognition.