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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Identification of a Smartphone User Via Keystroke Analysis

Identification of a Smartphone User Via Keystroke Analysis

Naval Postgraduate School

Paperback

International Relations

ISBN10: 1505225736
ISBN13: 9781505225730
Publisher: Createspace
Published: Nov 27 2014
Pages: 36
Weight: 0.24
Height: 0.07 Width: 8.50 Depth: 11.02
Language: English
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.

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