Journal on Communications ›› 2020, Vol. 41 ›› Issue (2): 155-164.doi: 10.11959/j.issn.1000-436x.2020020

• Papers • Previous Articles     Next Articles

Traffic characteristic based privacy leakage assessment scheme for Android device

Zhu WANG1,2,Kun HE1,2,Xinyu WANG1,2,Ben NIU1(),Fenghua LI1,2   

  1. 1 Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100093,China
    2 School of Cyber Security,University of Chinese Academy of Sciences,Beijing 100049,China
  • Revised:2019-12-06 Online:2020-02-25 Published:2020-03-09
  • Supported by:
    The National Key Research and Development Program of China(2017YFB0802203);The National Natural Science Foundation of China(61872441);The National Natural Science Foundation of China(61672515);Youth Innovation Promotion Association CAS(2018196)

Abstract:

Aiming at the privacy leakage,which was caused by collecting user information by third-party host in Android operating system App,a privacy leakage evaluation scheme HostRisk was proposed.HostRisk was based on TF-IDF model and hierarchical clustering method,which was applied in mobile device.The TF-IDF model calculated the business relevance between Apps and hosts via the behavior characteristics of the hosts in these Apps.For the business related hosts that fail to express the business relevance characteristics,those hosts were adjusted and optimized via the average connected hierarchical agglomerative clustering method.Finally,the harmful degree of privacy leakage was evaluated based on the ranking of all hosts in the App.The experimental results verify the effectiveness and efficiency of the scheme.

Key words: Android, privacy leakage, privacy assessment, privacy preservation

CLC Number: 

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