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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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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)Plug and Power: Fingerprinting USB Powered Peripherals via Power Side-channel., , , , and . INFOCOM, page 1-10. IEEE, (2023)BLEWhisperer: Exploiting BLE Advertisements for Data Exfiltration., , , and . ESORICS (1), volume 13554 of Lecture Notes in Computer Science, page 698-717. Springer, (2022)AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic., , , and . EuroS&P, page 439-454. IEEE, (2016)DART: Detecting Unseen Malware Variants using Adaptation Regularization Transfer Learning., , , , , and . ICC, page 1-6. IEEE, (2019)Analyzing Android Encrypted Network Traffic to Identify User Actions., , , and . IEEE Trans. Inf. Forensics Secur., 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)No Free Charge Theorem: a Covert Channel via USB Charging Cable on Mobile Devices., , , , and . CoRR, (2016)