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Fundamentals of Sketch-Based Passwords A General Framework [Paperback]

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  • Category: Books (Computers)
  • Author:  Riggan, Benjamin S., Snyder, Wesley E., Wang, Cliff
  • Author:  Riggan, Benjamin S., Snyder, Wesley E., Wang, Cliff
  • ISBN-10:  3319136283
  • ISBN-10:  3319136283
  • ISBN-13:  9783319136288
  • ISBN-13:  9783319136288
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Mar-2015
  • Pub Date:  01-Mar-2015
  • SKU:  3319136283-11-SPRI
  • SKU:  3319136283-11-SPRI
  • Item ID: 100784513
  • List Price: $54.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 05 to Jul 07
  • Notes: Brand New Book. Order Now.
This SpringerBrief explores graphical password systems and examines novel drawing-based methods in terms of security, usability, and human computer-interactions. It provides a systematic approach for recognizing, comparing, and matching sketch-based passwords in the context of modern computing systems. The book offers both a security and usability analysis of the accumulative framework used for incorporating handwriting biometrics and a human computer-interaction performance analysis. The chapters offer new perspectives and experimental results regarding model uniqueness, recognition tolerance, and the human-computer interaction. The results demonstrate that biometrics reduce the equal error rate (EER) by more than 10%, and show that people are capable of accurately reproducing a sketch-based password. Fundamentals of Sketch-based Passwords: A General Framework targets computer scientists and engineers focused on computer security, biometrics, and human factors. Advanced-level students in computer science and electrical engineering will find this material useful as a study guide for their classes.Introduction.- Background.- Sketch-Based Authentication.- Efficiency, Uniqueness, and Robustness.- Human-Computer Interaction.- Experiments and Results.- Conclusions.- Appendix: Optimization.- Appendix: Subspace Approximations.GB
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