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1. 发明授权

EP3176981B1 METHOD AND DEVICE FOR DETECTING THE TYPE OF A NETWORK DATA FLOW 有权
公开(公告)号：EP3176981B1
公开(公告)日：2018-11-21
申请号：EP15874869.9
申请日：2015-08-10
申请人： Huawei Technologies Co., Ltd.
发明人： CHEN, Zhitang , GENG, Yanhui , POUPART, Pascal
IPC分类号： H04L12/26 , G06F7/556 , H04L12/851 , H04L12/721 , H04L29/06
CPC分类号： H04L47/2483 , G06F7/556 , H04L43/00 , H04L43/16 , H04L45/70 , H04L69/22
摘要： An embodiment of the present invention provides a method for detecting a type of a data flow, where the method includes: obtaining a header of a first data packet of a current data flow, and obtaining a pattern vector of the current data flow from the header; comparing the at least one feature dimension in the pattern vector of the current data flow with a corresponding feature dimension in a pattern vector of at least one historical data flow, so as to obtain at least one pattern similarity of the current data flow; predicting a length of the current data flow according to the at least one pattern similarity of the current data flow and a length of the corresponding at least one historical data flow; and comparing the predicted length of the current data flow with a preset threshold, and determining whether the current data flow is a large data flow or a small data flow according to a comparison result. In the present invention, a type of a data flow can be detected by detecting a header of a first data packet of the data flow, which can determine a type of a network data flow in real time and can improve determining precision.

2. 发明公开

EP3176981A1 METHOD AND DEVICE FOR DETECTING TYPE OF NETWORK DATA FLOW 有权
标题翻译：用于检测网络数据流类型的方法和设备
公开(公告)号：EP3176981A1
公开(公告)日：2017-06-07
申请号：EP15874869.9
申请日：2015-08-10
申请人： Huawei Technologies Co., Ltd.
发明人： CHEN, Zhitang , GENG, Yanhui , POUPART, Pascal
IPC分类号： H04L12/26
CPC分类号： H04L47/2483 , G06F7/556 , H04L43/00 , H04L43/16 , H04L45/70 , H04L69/22
摘要： An embodiment of the present invention provides a method for detecting a type of a data flow, where the method includes: obtaining a header of a first data packet of a current data flow, and obtaining a pattern vector of the current data flow from the header; comparing the at least one feature dimension in the pattern vector of the current data flow with a corresponding feature dimension in a pattern vector of at least one historical data flow, so as to obtain at least one pattern similarity of the current data flow; predicting a length of the current data flow according to the at least one pattern similarity of the current data flow and a length of the corresponding at least one historical data flow; and comparing the predicted length of the current data flow with a preset threshold, and determining whether the current data flow is a large data flow or a small data flow according to a comparison result. In the present invention, a type of a data flow can be detected by detecting a header of a first data packet of the data flow, which can determine a type of a network data flow in real time and can improve determining precision.
摘要翻译：本发明实施例提供了一种数据流的类型检测方法，包括：获取当前数据流的第一数据包的头部，从头部获取当前数据流的模式向量 ; 将当前数据流的模式向量中的至少一个特征维度与至少一个历史数据流的模式向量中的对应的特征维度进行比较，以获得当前数据流的至少一个模式相似度; 根据所述当前数据流的至少一个图样相似度和所述对应的至少一个历史数据流的长度，预测所述当前数据流的长度; 将当前数据流的预测长度与预设阈值进行比较，根据比较结果确定当前数据流是大数据流还是小数据流。在本发明中，可以通过检测数据流的第一数据包的头部来检测数据流的类型，这可以实时确定网络数据流的类型并且可以提高确定精度。

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