Adaptive Android Malware Signature Detection
Suparerk Ngamwitroj, Benchaphon Limthanmaphon · 2018
This paper proposes signature-based malware detection using permission and broadcast-receiver data, which is extracted from the manifest file. The malicious signatures are constructed from 800 applications thru the filtering and statistical processes. The detection result showed that malicious signatures used to detect the malicious applications had 86.56% accuracy.