1) application layer feature methods
应用层特征检测法
1.
Current identification technology can be generally divided into four categories:as port identification methods,application layer feature methods, traffic feature methods and connection patterns methods.
这里我们介绍了4种典型的P2P流量检测技术:常用端口检测法、应用层特征检测法、流量特征检测法以及连接模式检测法,总结各个技术的优缺点,最后分析了P2P流量检测技术进一步的研究方向。
2) application character
应用层特征
3) application layer signature
应用层特征码
1.
To address this issue,an effective method is presented,and association rule mining technology is used to extract the application layer signatures from IP traffic,and the results show that this method has high accurate and efficient rate,it meets the actual needs of network applications.
针对该问题,提出了一种利用关联规则挖掘技术从IP流量载荷中提取应用层特征码的方法。
4) detection method of vehicles feature
车辆特征检测法
5) traffic feature methods
流量特征检测法
1.
Current identification technology can be generally divided into four categories:as port identification methods,application layer feature methods, traffic feature methods and connection patterns methods.
这里我们介绍了4种典型的P2P流量检测技术:常用端口检测法、应用层特征检测法、流量特征检测法以及连接模式检测法,总结各个技术的优缺点,最后分析了P2P流量检测技术进一步的研究方向。
6) application layer data inspection
应用层数据检测
1.
This paper raises a network-based parallel algorithm for application layer data inspection(Parallel Application layer Inspection Algorithm,PAIA).
提出了一种基于网络的应用层数据检测并行算法(Parallel Application layer Inspection Algorithm,PAIA)。
补充资料：应用
①使用：应用方法｜理论应用于具体实践。②具有实用价值的：应用文｜基础理论和应用技术同样重要。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条