Android malware detection method based on improved Bayesian algorithm
A Bayesian algorithm and malware technology, applied in the direction of platform integrity maintenance, etc., can solve problems such as high false positive rate and achieve the effect of improving efficiency
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[0020] This method extracts permission request files from malicious software and benign software, and then counts the combination of every two permission request labels as a feature attribute, and then uses the concept of mutual information to extract feature attributes with the mutual information evaluation function. The basic task of feature extraction is to extract from many From the feature attributes, find out those feature attributes that have a significant impact on the classification, and select these features as the feature attributes of the classification. Then the chi-square test method is used to remove the influence of redundant permission request label combinations on malware detection, and finally the naive Bayesian algorithm is used to establish mathematical modeling and generate a detection model. The invention proposes a method for detecting Android malware based on the improved Bayesian algorithm, which is composed of three parts: data collection, data proces...
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