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Text Input Biometric System Design for Handheld Devices

Naif Alotaibi , Emmanuel Pascal Bruno, Michael Coakley , Alexander Gazarov , Vinnie Monaco, Stephen Winard , Filip Witkowski , Alecia Copeland, Peter Nebauer , Christopher Keene, and Joshua Williams. Text Input Biometric System Design for Handheld Devices .

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Text Input Biometric System Design for Handheld Devices

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  1. NaifAlotaibi, Emmanuel Pascal Bruno, Michael Coakley, Alexander Gazarov, Vinnie Monaco, Stephen Winard, FilipWitkowski, Alecia Copeland, Peter Nebauer, Christopher Keene, and Joshua Williams Text Input Biometric System Design for Handheld Devices

  2. Security of handheld devices • Handheld devices play a major role in our personal and business activities. • Securing data on the devices is critical • Currently, front-line authentication measures are used (ex. Passwords)

  3. Keystroke biometric authentication • Identifying users based on typing patterns • Implicit authentication with minimal user involvement. • The keystroke biometric system at Pace University is an effective authentication measure • Implementing and investigate the viability of PKBS on handheld devices

  4. Virtual Keyboards - iOS • 2007 – the first iPhone • Almost the same keyboard • Special characters • Autocomplete and dictionary

  5. Android keyboards - types • 2009 – first virtual keyboards in Android 1.5 Cupcake • Dictionary and Autocomplete • Special characters • Swype OS Choice: Android

  6. Raw data capture

  7. System architecture BioKeyboard (IME service) Settings activity Biometric event Data file Event buffer SQLite database Network

  8. Data Collected

  9. Experimental Results

  10. Conclusions • implemented a software keyboard system to capture biometric events • System allows us to run experiments, collect data, and extract features to authenticate users.

  11. Future Work • Developing the feature vector. • System enhancements: • Capturing gesture/Swype input. • Track spelling suggestions.

  12. Thank You

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