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P2P流量已经占据了整个网络流量的60%—70%,HTTP、EMAIL等传统的流量已经受到P2P流量的影响,同时伴随大量非授权内容的传播和安全问题。网络运营商、企业网和校园网为保证传统应用的性能,需要对P2P流量进行有效管理。要完成这一目标,首要工作是对P2P流的检测,把它和传统的流量区分出来。该文对P2P流检测主要方法进行了总结,将当前的检测方法分为基于报文层面、流层面和节点层面3大类,针对各类中具体的方法,分析了各自的优点和缺点,并进行了比较。提出将多种方法结合使用有效对P2P流进行检测。最后分析了P2P流检测技术进一步的研究方向。
P2P traffic already occupies 60% -70% of the total network traffic. Traditional traffic such as HTTP and EMAIL has been affected by P2P traffic, accompanied by a large number of non-authorized content dissemination and security issues. Network operators, enterprise networks and campus networks To ensure the performance of traditional applications, P2P traffic needs to be effectively managed. To accomplish this goal, the first priority is to detect P2P traffic and distinguish it from traditional traffic. This paper summarizes the main methods of P2P streaming detection, and divides the current detection methods into three categories based on message level, flow level and node level, and analyzes their advantages and disadvantages according to the specific methods in each category Compared. A combination of multiple methods is proposed to effectively detect P2P flows. Finally, the further research direction of P2P flow detection technology is analyzed.