The research investigates machine learning-based techniques for detecting Android malware and app-collusion. Existing methods are reviewed, detailing their strengths and limitations. For instance, while current techniques effectively identify malware, they overlook colluding Android apps and single-app malware. To improve detection accuracy and computational efficiency, the research proposes a novel approach that emphasizes a more limited set of essential app permissions and distinguishes between generic and colluding malware.
Android malware ‘Crocodilus’ can take over phones to steal crypto
Cybersecurity firm Threat Fabric has identified a new Android malware, Crocodilus, that tricks users into revealing their cryptocurrency seed phrases. The malware presents an overlay
