9783319136288-3319136283-Fundamentals of Sketch-Based Passwords: A General Framework (SpringerBriefs in Computer Science)

Fundamentals of Sketch-Based Passwords: A General Framework (SpringerBriefs in Computer Science)

ISBN-13: 9783319136288
ISBN-10: 3319136283
Edition: 2014
Author: Cliff Wang, Wesley E. Snyder, Benjamin S. Riggan
Publication date: 2015
Publisher: Springer
Format: Paperback 83 pages
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Book details

ISBN-13: 9783319136288
ISBN-10: 3319136283
Edition: 2014
Author: Cliff Wang, Wesley E. Snyder, Benjamin S. Riggan
Publication date: 2015
Publisher: Springer
Format: Paperback 83 pages

Summary

Fundamentals of Sketch-Based Passwords: A General Framework (SpringerBriefs in Computer Science) (ISBN-13: 9783319136288 and ISBN-10: 3319136283), written by authors Cliff Wang, Wesley E. Snyder, Benjamin S. Riggan, was published by Springer in 2015. With an overall rating of 3.8 stars, it's a notable title among other AI & Machine Learning (Network Security, Security & Encryption, Computer Science) books. You can easily purchase or rent Fundamentals of Sketch-Based Passwords: A General Framework (SpringerBriefs in Computer Science) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.
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