CN112995063A - 一种流量监测方法、装置、设备及介质 - Google Patents
一种流量监测方法、装置、设备及介质 Download PDFInfo
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- CN112995063A CN112995063A CN202110416100.2A CN202110416100A CN112995063A CN 112995063 A CN112995063 A CN 112995063A CN 202110416100 A CN202110416100 A CN 202110416100A CN 112995063 A CN112995063 A CN 112995063A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2441—Traffic characterised by specific attributes, e.g. priority or QoS relying on flow classification, e.g. using integrated services [IntServ]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/211—Selection of the most significant subset of features
- G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/24323—Tree-organised classifiers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/46—Interconnection of networks
- H04L12/4641—Virtual LANs, VLANs, e.g. virtual private networks [VPN]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180375781A1 (en) * | 2016-03-11 | 2018-12-27 | Huawei Technologies Co.,Ltd. | Coflow identification method and system, and server using method |
CN109309630A (zh) * | 2018-09-25 | 2019-02-05 | 深圳先进技术研究院 | 一种网络流量分类方法、系统及电子设备 |
CN111147396A (zh) * | 2019-12-26 | 2020-05-12 | 哈尔滨工程大学 | 一种基于序列特征的加密流量分类方法 |
CN111144459A (zh) * | 2019-12-16 | 2020-05-12 | 重庆邮电大学 | 一种类不平衡的网络流量分类方法、装置及计算机设备 |
CN111711545A (zh) * | 2020-05-29 | 2020-09-25 | 福州大学 | 一种软件定义网络中基于深度包检测技术的加密流量智能识别方法 |
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2021
- 2021-04-19 CN CN202110416100.2A patent/CN112995063B/zh active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180375781A1 (en) * | 2016-03-11 | 2018-12-27 | Huawei Technologies Co.,Ltd. | Coflow identification method and system, and server using method |
CN109309630A (zh) * | 2018-09-25 | 2019-02-05 | 深圳先进技术研究院 | 一种网络流量分类方法、系统及电子设备 |
CN111144459A (zh) * | 2019-12-16 | 2020-05-12 | 重庆邮电大学 | 一种类不平衡的网络流量分类方法、装置及计算机设备 |
CN111147396A (zh) * | 2019-12-26 | 2020-05-12 | 哈尔滨工程大学 | 一种基于序列特征的加密流量分类方法 |
CN111711545A (zh) * | 2020-05-29 | 2020-09-25 | 福州大学 | 一种软件定义网络中基于深度包检测技术的加密流量智能识别方法 |
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