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

Peng Xiaotian
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引用次数: 1

Abstract

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.
高速网络中基于流量的行为识别系统优化
由于层出不穷的新网络应用和安全问题,政府、企业和互联网服务提供商迫切需要对网络流量进行识别、分类和控制。与DPI技术相比,基于流的行为识别具有连续性和可扩展性的优点,但存在可扩展性、效率和协调性等问题,严重制约了其在高速核心网中的实现。在相关研究和实验的基础上,对基于流的行为识别进行了优化,提高了识别的时间和空间性能。
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