关键词: 安卓, 差分隐私, 流量混淆, 隐私保护

Abstract: To overcome the difficulty in network application behavior exposure caused by Android users transmitting data and sending information through the terminal, this paper combines the advantages of two methods, namely, custom traffic confusion method and differential privacy-independent traffic interference, which can realize the implement privacy protection for the characteristics of user application behavior by changing the timing sequence and number features of traffic packets while ensuring the network connection status and data transmission content of the Android applications. The experimental results show that by selecting typical Android application traffic and extracting six main kinds of traffic characteristics, comparing the packet characteristics before and after confusion, the confusion method of this paper can effectively change the application traffic of Android terminals and resist the recognition of Support Vector Machine（SVM） and BP（Back Propagation） neural network algorithms, whose accuracy rate is as high as 96.55%, and finally realizes the protection of application behavior of Android terminals.

Key words: Android, differential privacy, traffic obfuscation, privacy protection