MAppPrint: Robust and Real-time Mobile App Fingerprinting via Traffic Behavior Correlation Graphs
MAppPrint is a new method for mobile app fingerprinting that models traffic using Traffic Behavior Correlation Graphs (TBCG). It captures how small sequences of packets behave and their relationships. This approach creates robust fingerprints that work well even when network conditions change or multiple apps are running at once, offering better accuracy and speed than existing techniques.