On-device android malware detection method based on adaptive model through transfer learning, and recording medium and apparatus for performing the same

Abstract

Provided is an on-device Android malware detection method based on an adaptive model through transfer learning, including: determining whether an application is malicious or unfavorable from a list of applications installed on a device; decompiling, in the device, an Android package (APK) of the application installed on the device; transmitting the determined list and the decompiled APK file to a server in order to generate a head model in the server and use the generated head model for the transfer learning with a base model; performing malware analysis in the device using a transfer learning model received from the server for an application newly installed on the device; and providing a malware analysis result to a user through the device as a result, and since the malware analysis is performed on the device, it is possible to ensure the availability and real-time performance of enabling analysis outside of a network range.