AI-BASED ANDROID MALICIOUS CODE AUTOMATION ANALYSIS SYSTEM AND METHOD THEREOF

摘要

The present invention relates to an AI-based Android malicious code automation analysis system and a method thereof. The system includes: a web crawler repeatedly searching for information on an Android application present on the Internet in response to requested search information and collecting an analysis target file; an analysis server performing AI-based learning by parsing the analysis target file to detect and analyze the presence of a malicious code; and a database storing information on previously analyzed files and storing analysis result files including binary files, file meta information, detection information, and analysis information of the analysis target file. According to the present invention, the web crawler is capable of automatically collecting malicious and normal APK files present on the Internet to secure a large amount of learning data, thereby increasing the accuracy of detection and analysis of an Android malicious code. In addition, when a learning (deep learning) algorithm is applied to such a large amount of learning data, the machine learns even the weights by itself, thereby making it possible to fully automate the entire processes from APK collection to analysis and output of results.;COPYRIGHT KIPO 2020