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AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic.

, , , and . EuroS&P, page 439-454. IEEE, (2016)

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AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic., , , and . EuroS&P, page 439-454. IEEE, (2016)The Dark Side(-Channel) of Mobile Devices: A Survey on Network Traffic Analysis., , , and . CoRR, (2017)On the Effectiveness of Sensor-enhanced Keystroke Dynamics Against Statistical Attacks., , , and . CODASPY, page 105-112. ACM, (2016)The Dark Side(-Channel) of Mobile Devices: A Survey on Network Traffic Analysis., , , and . IEEE Communications Surveys and Tutorials, 20 (4): 2658-2713 (2018)You Surf so Strange Today: Anomaly Detection in Web Services via HMM and CTMC., , , and . GPC, volume 10232 of Lecture Notes in Computer Science, page 426-440. (2017)Mirage: Toward a Stealthier and Modular Malware Analysis Sandbox for Android., , and . ESORICS (1), volume 10492 of Lecture Notes in Computer Science, page 278-296. Springer, (2017)On the Resilience of Network-based Moving Target Defense Techniques Against Host Profiling Attacks., , , and . MTD@CCS, page 1-12. ACM, (2019)Analyzing Android Encrypted Network Traffic to Identify User Actions., , , and . IEEE Trans. Information Forensics and Security, 11 (1): 114-125 (2016)Can't you hear me knocking: Identification of user actions on Android apps via traffic analysis., , , and . CoRR, (2014)DELTA: Data Extraction and Logging Tool for Android., , and . CoRR, (2016)