The embodiment of the invention provides a malicious code family identification method and device, and the method comprises the steps: obtaining a target malicious code, and extracting the dynamic behavior data of the target malicious code; inputting the dynamic behavior data of the target malicious code into a malicious code family classification model, and identifying a family to which the target malicious code belongs, wherein the malicious code family classification model is generated by training dynamic behavior data extracted from malicious code samples of different families by using a machine learning algorithm. According to the embodiment of the invention, the family to which the target malicious code belongs can be identified, and the identification result is more accurate.

Malicious code family identification method and device

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

An embodiment of the invention provides an API-based Android malicious program detection method, includes decompiling APK file to get smali file, obtaining sensitive API set by Pscout tool, matching API in smali file with API in sensitive API set, composing matching sensitive API set by successful matching API. LibD tool is used to eliminate the API called by the third party library in the matching sensitive API set, and the purified matching sensitive API set is obtained. According to the purified matching sensitive API set, the first eigenvector is constructed, and TF-IDF algorithm reconstructs the first feature vector to obtain a second feature vector;taking the second feature vector as training set, the training depth learning model is used to get the effective classification model, and the effective classification model is used to detect the Android program and obtain the Android malicious program. The embodiment of the invention also provides an active interactive device and a non-transient readable storage medium for realizing the method. The invention can accurately detect the Android malicious program.

Method, device and storage medium for detecting android malicious program based on api

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Android malicious application family classification method and device and electronic equipment

Method, device and storage medium for detecting android malicious program based on api