The cost of misclassifying a malware program as normal is often higher than that of misclassifying a normal program as ***,how to improve the detection accuracy of malware programs is a very important *** paper propos...
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The cost of misclassifying a malware program as normal is often higher than that of misclassifying a normal program as ***,how to improve the detection accuracy of malware programs is a very important *** paper proposes a deep learning malware program detectionalgorithm based on attention *** 2 Vec model is used to map the Application programming interface(API) into word vectors,and all word vectors of each sample are arranged into a matrix with the same *** this basis,residual network is used to extract features of *** features are input into the attention mechanism to learn the similarity between ***,the features are weighted with the similarity to obtain the new features with better *** new features and the original features are added element by element to obtain the sample features more suitable for ***,samples are classified by *** show that the classification effect of the proposed method is better than that of the traditional machine learning method.
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