摘要
准确的流量分类是网络管理的前提,比较分析了基于端口、基于数据包、基于主机行为、基于机器学习的四种流量分类方法的优缺点,展望了流量分类技术未来发展方向。
Network traffic classification in terms of application type is the precondition of network management.The advantages and limitations of four approachs,such as port-based approach,payload-based approach,host-behavior-based approach and ma?chine learning-based approach are analyzed and compared.The prospect work in this area were pointed out.
出处
《电脑知识与技术》
2013年第11X期7420-7422,共3页
Computer Knowledge and Technology
关键词
网络流量
分类方法
机器学习
network traffic
classification method
machine learning
