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A mobile application-oriented traffic feature extraction method and system

A technology of traffic characteristics and mobile applications, which is applied in the directions of instruments, calculations, characters and pattern recognition, etc., can solve problems such as difficult to adapt to mobile application traffic recognition, achieve the effect of reducing calculations and avoiding the impact of recognition accuracy

Active Publication Date: 2021-08-17
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0002] Most traditional network traffic identification technologies can only perform coarse-grained traffic identification, such as application layer protocols corresponding to network traffic, malicious traffic identification, abnormal traffic detection, etc., which are difficult to adapt to mobile application traffic identification

Method used

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  • A mobile application-oriented traffic feature extraction method and system
  • A mobile application-oriented traffic feature extraction method and system

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0046] The purpose of the present invention is to provide a mobile application-oriented traffic feature extraction method and system, which can efficiently and accurately identify application network traffic.

[0047] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0...

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Abstract

The present invention relates to a mobile application-oriented traffic feature extraction method and system. The method includes: collecting data information on a mobile device; preprocessing the data information; acquiring an application ID and constructing it as an application feature; based on the application feature Perform ID feature recognition on the preprocessed data information to filter out unidentifiable data information; cluster the data information that cannot be identified by the application ID into highly similar network flow sets; extract the longest common value of request messages in each set subsequence, and remove all changed fields and irrelevant values ​​in the longest common subsequence to obtain data structured features; determine the final attribution of features according to the frequency of network flows represented by the data structured features in different applications . The above method in the present invention can efficiently and accurately identify application network traffic.

Description

technical field [0001] The invention relates to the field of mobile application network traffic, in particular to a mobile application-oriented traffic feature extraction method and system. Background technique [0002] Most traditional network traffic identification technologies can only perform coarse-grained traffic identification, such as application layer protocols corresponding to network traffic, malicious traffic identification, abnormal traffic detection, etc., which are difficult to adapt to mobile application traffic identification. [0003] In the face of the explosive growth of mobile Internet access traffic and the number of application software, how to efficiently and accurately identify the traffic of these applications is of great significance to network operators and network security service providers. The premise and foundation of control, intrusion detection, malicious application identification, and user behavior analysis. The key to identifying mobile ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/2113G06F18/23
Inventor 王飞陈曙晖沈亮赵双李振兴李京秦刘宇静邢倩倩
Owner NAT UNIV OF DEFENSE TECH
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