Identification of a Smartphone User Via Keystroke Analysis
Keystroke analysis has been an accepted method for user identification and authentication since the early 1980s. Most of the research in this field of biometrics has focused on traditional computer keyboards, with very few experiments performed on touchscreen keyboards found on modern smartphones. This book focused on identifying a smartphone user based on typing samples input by copying pre-written text, as well as spontaneously-authored free text. Features used for identification were duration of key press, as well as bigram and trigram transitions. User classification based on duration features proved to be successful in 70 percent of inputs to our k-nearest neighbors classifier.
1120839617
Identification of a Smartphone User Via Keystroke Analysis
Keystroke analysis has been an accepted method for user identification and authentication since the early 1980s. Most of the research in this field of biometrics has focused on traditional computer keyboards, with very few experiments performed on touchscreen keyboards found on modern smartphones. This book focused on identifying a smartphone user based on typing samples input by copying pre-written text, as well as spontaneously-authored free text. Features used for identification were duration of key press, as well as bigram and trigram transitions. User classification based on duration features proved to be successful in 70 percent of inputs to our k-nearest neighbors classifier.
12.95 In Stock
Identification of a Smartphone User Via Keystroke Analysis

Identification of a Smartphone User Via Keystroke Analysis

by Naval Postgraduate School
Identification of a Smartphone User Via Keystroke Analysis

Identification of a Smartphone User Via Keystroke Analysis

by Naval Postgraduate School

Paperback

$12.95 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

Keystroke analysis has been an accepted method for user identification and authentication since the early 1980s. Most of the research in this field of biometrics has focused on traditional computer keyboards, with very few experiments performed on touchscreen keyboards found on modern smartphones. This book focused on identifying a smartphone user based on typing samples input by copying pre-written text, as well as spontaneously-authored free text. Features used for identification were duration of key press, as well as bigram and trigram transitions. User classification based on duration features proved to be successful in 70 percent of inputs to our k-nearest neighbors classifier.

Product Details

ISBN-13: 9781505225730
Publisher: CreateSpace Publishing
Publication date: 11/27/2014
Pages: 36
Product dimensions: 8.50(w) x 11.02(h) x 0.07(d)
From the B&N Reads Blog

Customer Reviews