Identifying Apps Based on User-Agent and Web-Knowledge

doi:10.13190/j.jbupt.2017.02.017

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (2): 102-105.doi: 10.13190/j.jbupt.2017.02.017

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Identifying Apps Based on User-Agent and Web-Knowledge

GUI Xiao-lin, LIU Jun, QIAO Yuan-yuan, CHI Mu-cong, LEI Zhen-ming

Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2016-01-29 Online:2017-04-28 Published:2017-04-26

Abstract

Abstract: A new method was proposed to identify apps via analyzing network traffic.This method can identify apps according to incomplete and ambiguous features of user-agent. Firstly, the user-agents from hyper text transfer protocol headers was extracted; then, the related text feature was obtained from Internet by using the corresponding user-agent; finally, the apps by analyzing the obtained text features was identified. Experiments are conducted by using hyper text transfer protocol traffic traces collected from Gn interface. It is shown that the proposed techniques are superior to the known methods.

Key words: application identification, web-knowledge, user-agent, hyper text transfer protocol

CLC Number:

TN911.22

GUI Xiao-lin, LIU Jun, QIAO Yuan-yuan, CHI Mu-cong, LEI Zhen-ming. Identifying Apps Based on User-Agent and Web-Knowledge[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2017, 40(2): 102-105.

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Identifying Apps Based on User-Agent and Web-Knowledge

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