CN104579805A - A novel network traffic identifying method - Google Patents

A novel network traffic identifying method Download PDF

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Publication number
CN104579805A
CN104579805A CN201310472720.3A CN201310472720A CN104579805A CN 104579805 A CN104579805 A CN 104579805A CN 201310472720 A CN201310472720 A CN 201310472720A CN 104579805 A CN104579805 A CN 104579805A
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CN
China
Prior art keywords
session
source
address
source port
protocol
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN201310472720.3A
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Chinese (zh)
Inventor
陈传兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhengzhou Glacier Network Technology Co Ltd
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Zhengzhou Glacier Network Technology 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 Zhengzhou Glacier Network Technology Co Ltd filed Critical Zhengzhou Glacier Network Technology Co Ltd
Priority to CN201310472720.3A priority Critical patent/CN104579805A/en
Publication of CN104579805A publication Critical patent/CN104579805A/en
Pending legal-status Critical Current

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Abstract

The present invention is adapted to the technical field of networks, and provides a method for identifying and QOS a data stream in the network. The specific technical solution is: defining three elements, i.e., a protocol (tcp/udp), a source IP address, and a source port, as one session, adding a specific hash algorithm, and establishing a link for the session in an internal storage; and after identifying a certain message therein, tabbing the entire session, and subsequent messages matching with the tab. Such solution is adapted to a situation of multiple P2P links. When a conventional DPI is at P2P, the same P2P source port may be connected to a plurality of target IP addresses and ports at the same time. A conventional approach is to identify the protocol (tcp/udp), the source IP address, the source port, the target IP address, the target port as an link, while in the present invention, as long as the source IP, the source port, a basic protocol are the same, they are identified as one session, which greatly reduces items of the linking number and the problem of repeated identifications of the application protocol.

Description

A kind of new network flow identification method
Technical field
The present invention is suitable for network technology and the communications field, provide a kind of data flow in network is identified fast and QOS mark method.
Background technology
At present, known flow protocol recognition technology mainly DPI (DeepPacketInspection, deep-packet detection) and DFI (Deep/DynamicFlow Inspection, the degree of depth/dynamic flow detects) these two kinds of technology, DPI is by mating the keyword in the keyword in message and system protocol storehouse thus identify application protocol, agreement in general employing IP agreement, ip address, source, source port, object ip address, this 5 element of destination interface is as a session, when in session stream, any one up-downgoing message regards as application-specific agreement, then can assert that whole session is for this agreement, the session define method of 5 elements can cause linking number entry huge, agreement repeats the problem of the inefficiencies such as identification.
Summary of the invention
In order to overcome the inefficient deficiency of DPI, the invention provides and usually define a session by agreement, source IP address, source port ternary, can to solve in DPI session entry too much, agreement repeats the problems such as identification, reaches the object of Traffic identification and optimization.
Concrete technical scheme is: basic condition element being defined as a session, add certain hash algorithm, for this session sets up a connection in internal memory, when after identification wherein certain message, a mark is stamped to whole session, follow-up message mates this and marks, this kind of scheme is applicable to P2P when connecting more, traditional DPI is when P2P, same P2P source port may connect a lot of object IP addresses simultaneously, traditional way is that each different five elements combination is identified as a connection, as long as the present invention is then source IP, source port, basic agreement element, then be identified as a session, greatly reduce linking number and the problem repeating to identify.
The invention has the beneficial effects as follows: due to the minimizing of linking number, cause inquiry, distribute uniform velocity and significantly promote, the DPI that efficiency is more traditional has obvious lifting, and avoids the protocol identification of repetition.
Accompanying drawing explanation
Accompanying drawing 1 is the linking number curve chart under the traditional DPI pattern recognition of employing
Accompanying drawing 2 is the linking number curve chart under the pattern recognition of employing element, and under element pattern, linking number decreases about 2/3, and under this kind of pattern, efficiency significantly promotes.
Embodiment
Embodiment is by this algorithm of programming realization on flow-control equipment, generally realizes at kernel state, to obtain higher efficiency.

Claims (4)

1. one kind using agreement (tcp/udp), source IP address, source port element as the QOS method of a session, it is characterized in that: usually carry out HASH distribution by ternary, instead of traditional five elements, the method is applicable to ipv4/ipv6 network.
2. the QOS method in right 1, it is characterized in that: HASH algorithm preserves the record of session in internal memory, coordinate protocol identification time, identical source IP address and source port can be identified as identical SESSION within the close time period, though its object IP and destination interface inconsistent.
3. the QOS method in right 1, it is characterized in that, session has the time-to-live in internal memory, and pass through without movable message when exceeding this session of special time, then this session is by Automatic clearance.
4. the QOS method in right 1, is characterized in that, when showing IP address linking number entry, only showing source IP, agreement, source port, and not showing object IP address and destination interface.
CN201310472720.3A 2013-10-12 2013-10-12 A novel network traffic identifying method Pending CN104579805A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310472720.3A CN104579805A (en) 2013-10-12 2013-10-12 A novel network traffic identifying method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310472720.3A CN104579805A (en) 2013-10-12 2013-10-12 A novel network traffic identifying method

Publications (1)

Publication Number Publication Date
CN104579805A true CN104579805A (en) 2015-04-29

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CN (1) CN104579805A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105591836A (en) * 2015-09-09 2016-05-18 杭州华三通信技术有限公司 Data flow detection method and device
CN108123843A (en) * 2016-11-28 2018-06-05 中国移动通信有限公司研究院 Flow rate testing methods, detection data processing method and processing device
CN109525587A (en) * 2018-11-30 2019-03-26 新华三信息安全技术有限公司 A kind of recognition methods of data packet and device
CN110868358A (en) * 2019-10-16 2020-03-06 武汉绿色网络信息服务有限责任公司 Data packet processing method and device based on application identification self-learning

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101127690A (en) * 2006-08-17 2008-02-20 王玉鹏 Identification method for next generation of network service traffic
CN101202652A (en) * 2006-12-15 2008-06-18 北京大学 Device for classifying and recognizing network application flow quantity and method thereof
CN101656677A (en) * 2009-09-18 2010-02-24 杭州迪普科技有限公司 Message diversion processing method and device
CN102780591A (en) * 2011-05-12 2012-11-14 弗兰克公司 Method and apparatus for distinguishing and sampling bi-directional network traffic at a conversation level
CN103152340A (en) * 2013-02-28 2013-06-12 汉柏科技有限公司 Resource access-crossing protocol identification method
CN103312565A (en) * 2013-06-28 2013-09-18 南京邮电大学 Independent learning based peer-to-peer (P2P) network flow identification method

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101127690A (en) * 2006-08-17 2008-02-20 王玉鹏 Identification method for next generation of network service traffic
CN101202652A (en) * 2006-12-15 2008-06-18 北京大学 Device for classifying and recognizing network application flow quantity and method thereof
CN101656677A (en) * 2009-09-18 2010-02-24 杭州迪普科技有限公司 Message diversion processing method and device
CN102780591A (en) * 2011-05-12 2012-11-14 弗兰克公司 Method and apparatus for distinguishing and sampling bi-directional network traffic at a conversation level
CN103152340A (en) * 2013-02-28 2013-06-12 汉柏科技有限公司 Resource access-crossing protocol identification method
CN103312565A (en) * 2013-06-28 2013-09-18 南京邮电大学 Independent learning based peer-to-peer (P2P) network flow identification method

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105591836A (en) * 2015-09-09 2016-05-18 杭州华三通信技术有限公司 Data flow detection method and device
CN105591836B (en) * 2015-09-09 2019-03-15 新华三技术有限公司 Data-flow detection method and apparatus
CN108123843A (en) * 2016-11-28 2018-06-05 中国移动通信有限公司研究院 Flow rate testing methods, detection data processing method and processing device
CN109525587A (en) * 2018-11-30 2019-03-26 新华三信息安全技术有限公司 A kind of recognition methods of data packet and device
CN110868358A (en) * 2019-10-16 2020-03-06 武汉绿色网络信息服务有限责任公司 Data packet processing method and device based on application identification self-learning
CN110868358B (en) * 2019-10-16 2022-11-08 武汉绿色网络信息服务有限责任公司 Data packet processing method and device based on application identification self-learning

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Application publication date: 20150429