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This paper devotes to the APK sensitive behavior was studied by classification, and quantifies the APK sensitive behavior, finally after a quantitative APK sensitive behavior can be measured on the basis of the APK sensitive value, through the unique static detection method based on classification show users the APK is possible sensitive behavior and value. First of all, the APK according to its function of different will have different behavior, but beyond the functional behavior of additional behavior belongs to sensitive behavior, these often is the core of the leak privacy sensitive behavior, thus more targeted. Secondly, the static stain were used to detect, to cover the logical path for as long as possible, can be compared with the dynamic testing gives a more detailed test results. Many researchers are from the static current detection algorithm is to find a better solution, here from another train of thought, the classification property of APK itself to trigger a new thinking.

Detection of Sensitive Behavior on Android with static taint analysis based on classification