Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 361-364.doi: 10.11896/j.issn.1002-137X.2016.6A.086

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Decision Tree Algorithm in Non-invasive Monitoring Cell Phone Traffic

YI Jun-kai, LI Zheng-dong and LI Hui   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The purpose of this paper is to solve the problem that it is difficult to monitor and identify the malicious software in the cell phone.Aiming at proposing and realizing a mobile traffic monitoring system,we used non-invasive method to get phone traffic data.A decision tree model was established using the ID3 algorithm for the data,and then the traffic data was classified according to the decision tree rule.The experiment results show that the method can identify the traffic flow generated by the cell phone and the recognition accuracy rate can reach more than 92%.

Key words: Traffic monitoring,Decision tree,Traffic features,ID3 algorithm

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