Multi-dimensional Android platform application behavior security evaluation method fusing user subjective evaluation

The invention discloses a multi-dimensional Android platform application behavior security evaluation method fusing user subjective evaluation, which combines static detection based on permission correlation, dynamic monitoring based on historical confidence and user subjective expectation based on subjective correlation to carry out behavior security quantitative evaluation on applications of an Android platform. The method comprises an application analysis method and an application evaluation method. According to the method, permission-based static detection is carried out on an apk source file, so that the fineness and objectivity are improved; dynamically monitoring the real-time behavior of the application to obtain the calling condition of the application to each permission within a certain time; and a static detection result also provides guidance for dynamic monitoring, and the low efficiency is compensated. According to the application analysis method, on the basis of a two-dimensional result of the