Graph-Based Android Malware Detection and Categorization through BERT Transformer

Graph-Based Android Malware Detection and Categorization through BERT Transformer

연구 분야: Safety

학회: ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security

In this paper, we propose a novel approach to Android malware analysis and categorization that leverages the power of BERT (Bidirectional Encoder Representations from Transformers) to classify API call sequences generated from Android API Call Graph. By utilizing the API Call Graph, our approach captures the intricate relationships and dependencies between API calls, enabling a deeper understanding of the behavior exhibited by Android malware. Our results show that our approach achieves high accuracy in classifying API call sequences as malicious or benign and the method provides a promising solution also for categorizing Android malware and can help mitigate the risks posed by malicious Android applications.