The embodiment of the invention provides an Android malicious application family classification method and device and electronic equipment, and the method comprises the steps: carrying out the preprocessing of an APK file of an Android malicious application, and obtaining a smali file corresponding to the APK file; Bbased on the smali file, counting different method blocks containing sensitive elements, and based on the semantic information of the Opcode, uniformly expressing the Opcode by using a formalized operation code to generate a sensitive operation code sequence; And based on the sensitive operation code sequence, generating a text feature vector, and based on the text feature vector, classifying the Android malicious applications. According to the embodiment of the invention, thebehavior of the malicious application can be more accurately depicted, so that the classification precision of the malicious application is more effectively improved.

Android malicious application family classification method and device and electronic equipment

The invention discloses a method of malicious code family identification based on incremental DBSCAN algorithm The method saves malicious code feature vectors in a database The method comprises the steps of A1, when a malicious code sample is captured, IDA Python script is used to extract the features of the sample, the feature is transformed into feature vectors and saved in the database; A2, all the eigenvectors associated with the new feature vector are searched in the database, the eigenvectors being searched out are recorded as a set S; A3, the set S is analyzed and processed, different processing is made based on different categories; A4, all the clusters in the database are checked, and each cluster is a malicious code family which is identified The method of malicious code family identification based on incremental DBSCAN algorithm has the advantages of being good in universality, high in efficiency and good in accuracy

Method of malicious code family identification based on incremental DBSCAN algorithm

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Method of malicious code family identification based on incremental DBSCAN algorithm