Dynamic credibility detection model base on scene mining for software behavior

Abstract

Most of the current detection models for software behavior focus on the integrity detecting of its running path, but they rarely consider detecting the function realization integrity in each stage of the software running path. Therefore, dynamic credibility detection model based on scene mining for software behavior called SCDM is proposed in this paper. First of all, this model describes the integrity of various stages’ function implementation by introducing the concept of scene. Secondly, the model used association rules and sequence pattern algorithm in scene mining. Both of the algorithms can extract the hidden and valuable association information from the captured scene information set. And the mining result is used for credibility detection of software behavior. Finally, the results of simulation experiments indicate that CDMBSM model has a good detection performance.