Can't Touch This: Using Hover to Compromise the Confidentiality of User Input on Android

No abstract is available for this paper.

• Publication year

  2016

• Venue

  arXiv.org

• Publication date

  2016-11-04

• Fields of study

  Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Effective Defense Schemes for Phishing Attacks on Mobile Computing Platforms

  2016cited by this paper
• What the App is That? Deception and Countermeasures in the Android User Interface

  2015cited by this paper
• Improving Accuracy, Applicability and Usability of Keystroke Biometrics on Mobile Touchscreen Devices

  2015cited by this paper
• Towards Discovering and Understanding Task Hijacking in Android

  2015cited by this paper
• Gyrophone: Recognizing Speech from Gyroscope Signals

  2014cited by this paper
• Towards Continuous and Passive Authentication via Touch Biometrics: An Experimental Study on Smartphones

  2014cited by this paper
• Security Impact of High Resolution Smartphone Cameras

  2014cited by this paper
• Peeking into Your App without Actually Seeing It: UI State Inference and Novel Android Attacks

  2014influential reference
• Single-stroke language-agnostic keylogging using stereo-microphones and domain specific machine learning

  2014cited by this paper
• I can be You: Questioning the use of Keystroke Dynamics as Biometrics

  2013cited by this paper
• Clickjacking Revisited A Perceptual View of UI Security

  2013cited by this paper
• Securing Embedded User Interfaces: Android and Beyond

  2013cited by this paper
• UI Redressing Attacks on Android Devices

  2012cited by this paper
• GripSense: using built-in sensors to detect hand posture and pressure on commodity mobile phones

  2012cited by this paper
• PlaceRaider: Virtual Theft in Physical Spaces with Smartphones

  2012cited by this paper
• TapLogger: inferring user inputs on smartphone touchscreens using on-board motion sensors

  2012cited by this paper
• Tapprints: your finger taps have fingerprints

  2012cited by this paper
• ACComplice: Location inference using accelerometers on smartphones

  2012cited by this paper
• Soundcomber: A Stealthy and Context-Aware Sound Trojan for Smartphones

  2011cited by this paper
• Scikit-learn: Machine Learning in Python

  2011cited by this paper
• Android permissions demystified

  2011cited by this paper

• Understanding UI attacks on Android

  2020influential citation
• Scan-and-Pay on Android is Dangerous

  2019cites this paper
• Understanding and Detecting Overlay-based Android Malware at Market Scales

  2019cites this paper