BR112022004814A2 - Método de classificação de fluxo de dados e dispositivo relacionado - Google Patents

Método de classificação de fluxo de dados e dispositivo relacionado

Info

Publication number
BR112022004814A2
BR112022004814A2 BR112022004814A BR112022004814A BR112022004814A2 BR 112022004814 A2 BR112022004814 A2 BR 112022004814A2 BR 112022004814 A BR112022004814 A BR 112022004814A BR 112022004814 A BR112022004814 A BR 112022004814A BR 112022004814 A2 BR112022004814 A2 BR 112022004814A2
Authority
BR
Brazil
Prior art keywords
data stream
related device
dataflow
class
current
Prior art date
Application number
BR112022004814A
Other languages
English (en)
Inventor
Jun Wu
Xiaoyun Si
Xinyu Hu
Yali Wang
Original Assignee
Huawei Tech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Tech Co Ltd filed Critical Huawei Tech Co Ltd
Publication of BR112022004814A2 publication Critical patent/BR112022004814A2/pt

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • H04L47/2441Traffic characterised by specific attributes, e.g. priority or QoS relying on flow classification, e.g. using integrated services [IntServ]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/40Support for services or applications
    • H04L65/403Arrangements for multi-party communication, e.g. for conferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/145Network analysis or design involving simulating, designing, planning or modelling of a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/20Traffic policing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • H04L47/2475Traffic characterised by specific attributes, e.g. priority or QoS for supporting traffic characterised by the type of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • H04L47/2483Traffic characterised by specific attributes, e.g. priority or QoS involving identification of individual flows
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60Network streaming of media packets
    • H04L65/75Media network packet handling
    • H04L65/762Media network packet handling at the source 
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/16Implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/22Parsing or analysis of headers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/80Responding to QoS

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Computer Security & Cryptography (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

método de classificação de fluxo de dados e dispositivo relacionado. um método de classificação de fluxo de dados e um dispositivo relacionado são fornecidos. o método inclui: obter, com base em um recurso de pacote de um fluxo de dados atual e em um modelo de classificação de comportamento, pelo menos uma primeira confiança que é do fluxo de dados atual e que corresponde a pelo menos uma classe de fluxo de dados, em que o modelo de classificação de comportamento é um modelo obtido com base em uma pluralidade de amostras de fluxo de dados; obter, com base em informações de recurso do fluxo de dados atual e em um modelo de classificação de conteúdo, pelo menos uma segunda confiança que é do fluxo de dados atual e que corresponde a pelo menos uma classe de fluxo de dados, em que o modelo de classificação de conteúdo é um modelo obtido com base em um ou mais fluxos de dados históricos; e determinar uma classe de fluxo de dados do fluxo de dados atual com base na pelo menos uma primeira confiança e na pelo menos uma segunda confiança. a classe de fluxo de dados pode ser classificada com mais precisão usando o método.
BR112022004814A 2019-09-16 2020-09-16 Método de classificação de fluxo de dados e dispositivo relacionado BR112022004814A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910872990.0A CN112511457B (zh) 2019-09-16 2019-09-16 一种数据流类型识别方法及相关设备
PCT/CN2020/115693 WO2021052379A1 (zh) 2019-09-16 2020-09-16 一种数据流类型识别方法及相关设备

Publications (1)

Publication Number Publication Date
BR112022004814A2 true BR112022004814A2 (pt) 2022-06-21

Family

ID=74883367

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112022004814A BR112022004814A2 (pt) 2019-09-16 2020-09-16 Método de classificação de fluxo de dados e dispositivo relacionado

Country Status (7)

Country Link
US (1) US11838215B2 (pt)
EP (1) EP4024791B1 (pt)
JP (1) JP7413515B2 (pt)
KR (1) KR20220053658A (pt)
CN (2) CN114465962B (pt)
BR (1) BR112022004814A2 (pt)
WO (1) WO2021052379A1 (pt)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11785104B2 (en) * 2017-11-27 2023-10-10 Lacework, Inc. Learning from similar cloud deployments
US12058160B1 (en) 2017-11-22 2024-08-06 Lacework, Inc. Generating computer code for remediating detected events
US11894984B2 (en) * 2017-11-27 2024-02-06 Lacework, Inc. Configuring cloud deployments based on learnings obtained by monitoring other cloud deployments
US11818156B1 (en) 2017-11-27 2023-11-14 Lacework, Inc. Data lake-enabled security platform
US11742901B2 (en) * 2020-07-27 2023-08-29 Electronics And Telecommunications Research Institute Deep learning based beamforming method and apparatus
CN113434433B (zh) * 2021-07-22 2024-08-02 中国工商银行股份有限公司 软件测试的智能辅助方法及装置
CN115696455A (zh) * 2021-07-27 2023-02-03 华为技术有限公司 一种流控处理的方法及通信装置
CN113935431B (zh) * 2021-10-28 2022-04-08 北京永信至诚科技股份有限公司 一种多流关联分析识别私有加密数据的方法及系统
CN115037698B (zh) * 2022-05-30 2024-01-02 天翼云科技有限公司 一种数据识别方法、装置及电子设备
CN118430197A (zh) * 2024-07-05 2024-08-02 海纳云物联科技有限公司 排水井的污水排放报警方法、装置、设备和介质

Family Cites Families (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007228489A (ja) 2006-02-27 2007-09-06 Nec Corp アプリケーション識別システム、アプリケーション識別方法及びアプリケーション識別用プログラム
US8634399B2 (en) 2006-04-12 2014-01-21 Qualcomm Incorporated Uplink and bi-directional traffic classification for wireless communication
FR2957738B1 (fr) 2010-03-17 2012-04-20 Thales Sa Procede d'identification d'un protocole a l'origine d'un flux de donnees
US8682812B1 (en) * 2010-12-23 2014-03-25 Narus, Inc. Machine learning based botnet detection using real-time extracted traffic features
US9094288B1 (en) * 2011-10-26 2015-07-28 Narus, Inc. Automated discovery, attribution, analysis, and risk assessment of security threats
JP5812282B2 (ja) 2011-12-16 2015-11-11 公立大学法人大阪市立大学 トラヒック監視装置
WO2014117406A1 (zh) 2013-02-04 2014-08-07 华为技术有限公司 特征提取装置、网络流量识别方法、装置和系统
US20140321290A1 (en) * 2013-04-30 2014-10-30 Hewlett-Packard Development Company, L.P. Management of classification frameworks to identify applications
RU2589852C2 (ru) * 2013-06-28 2016-07-10 Закрытое акционерное общество "Лаборатория Касперского" Система и способ автоматической регулировки правил контроля приложений
US9721212B2 (en) * 2014-06-04 2017-08-01 Qualcomm Incorporated Efficient on-device binary analysis for auto-generated behavioral models
CN105007282B (zh) * 2015-08-10 2018-08-10 济南大学 面向网络服务提供商的恶意软件网络行为检测方法及系统
JP2017139580A (ja) 2016-02-02 2017-08-10 沖電気工業株式会社 通信解析装置及び通信解析プログラム
US20170364794A1 (en) * 2016-06-20 2017-12-21 Telefonaktiebolaget Lm Ericsson (Publ) Method for classifying the payload of encrypted traffic flows
CN107360159B (zh) * 2017-07-11 2019-12-03 中国科学院信息工程研究所 一种识别异常加密流量的方法及装置
CN107360032B (zh) * 2017-07-20 2020-12-01 中国南方电网有限责任公司 一种网络流识别方法及电子设备
CN108173708A (zh) * 2017-12-18 2018-06-15 北京天融信网络安全技术有限公司 基于增量学习的异常流量检测方法、装置及存储介质
CN108200032A (zh) * 2017-12-27 2018-06-22 北京奇艺世纪科技有限公司 一种数据检测方法、装置及电子设备
CN108650195B (zh) * 2018-04-17 2021-08-24 南京烽火星空通信发展有限公司 一种app流量自动识别模型构建方法
CN108667747A (zh) * 2018-04-28 2018-10-16 深圳信息职业技术学院 网络流应用类型识别的方法、装置及计算机可读存储介质
US10555040B2 (en) * 2018-06-22 2020-02-04 Samsung Electronics Co., Ltd. Machine learning based packet service classification methods for experience-centric cellular scheduling
CN108900432B (zh) * 2018-07-05 2021-10-08 中山大学 一种基于网络流行为的内容感知方法
CN109067612A (zh) * 2018-07-13 2018-12-21 哈尔滨工程大学 一种基于增量聚类算法的在线流量识别方法
CN109818976B (zh) * 2019-03-15 2021-09-21 杭州迪普科技股份有限公司 一种异常流量检测方法及装置
CN110138681B (zh) * 2019-04-19 2021-01-22 上海交通大学 一种基于tcp报文特征的网络流量识别方法及装置
CN110048962A (zh) * 2019-04-24 2019-07-23 广东工业大学 一种网络流量分类的方法、系统及设备

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Publication number Publication date
US11838215B2 (en) 2023-12-05
WO2021052379A1 (zh) 2021-03-25
EP4024791A4 (en) 2022-09-28
US20220210082A1 (en) 2022-06-30
JP7413515B2 (ja) 2024-01-15
CN114465962B (zh) 2024-01-05
JP2022548136A (ja) 2022-11-16
EP4024791B1 (en) 2024-06-19
CN114465962A (zh) 2022-05-10
EP4024791A1 (en) 2022-07-06
CN112511457B (zh) 2021-12-28
CN112511457A (zh) 2021-03-16
KR20220053658A (ko) 2022-04-29

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