About this document
Droidetec: Deep Learning for Android Malware Detection by antoninkeuck is a document available to read on EtoBox.
Droidetec is a deep learning-based method for detecting Android malware and localizing malicious code, inspired by previous work on natural language processing. It analyzes Dalvik opcode and retrieves behavior sequences to identify suspicious code segments, providing analysis reports for detected malware. The framework aims to enhance the accuracy of malware detection while addressing limitations of existing methods through automated analysis and improved localization techniques.
- Author
- antoninkeuck
- Language
- EN