一种分析Android系统小部件意图的有效方法

C. Qi, Shuai Shao, Yanhui Guo, Junhao Peng, Guosheng Xu
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引用次数: 0

摘要

随着手机和其他移动终端在生活中地位的提高,手机的隐私保护仍然是一个很大的问题。本文针对目前市场份额最大的移动终端操作系统Android系统,提出了一种widget意图分析方法,解决了在隐私保护中如何判断用户操作意图的问题。该意图分析方法使用MobilenetV3提取图像信息,BiLSTM提取文本信息,然后共同构建联合特征,并使用深度学习技术实现小部件的意图分析。通过对比实验,我们的方法提高了检测精度,减少了现有方法的训练时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Method for Analyzing Widget Intent of Android System
With the improvement of the status of mobile phones and other mobile terminals in life, the privacy protection of mobile phones is still a big problem. Aiming at the Android system, the mobile terminal operating system with the largest share today, this paper proposes a widget intention analysis method to solve the problem of how to judge the user's operation intention in privacy protection. This intention analysis method uses MobilenetV3 to extract image information, BiLSTM to extract text information, then constructs joint features together, and uses deep learning technology to realize intention analysis of widgets. Through comparative experiments, our method improves the detection accuracy and reduces the training time for the existing methods.
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