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Paper Abstract and Keywords
Presentation 2010-01-28 15:00
User keystroke identification among small reference data by large personal data
Yoshihiro Kaneko (Gifu Univ.) CAS2009-68
Abstract (in Japanese) (See Japanese page) 
(in English) User keystroke authentication research has been done for decades and some methods have been proposed and validated. For authentication, the latencies of two consecutive keys, termed digraph, are mostly utilized. Many methods require repeated short words such as login-name, password and so on. On the other hand, our method requires long words such as some sentences. Our study aims to establish the way to guarantee a person as his/her second signature or the way to identify him/her among people. As preliminary experiments, we have obtained samples of digraphs for 27 persons to make a reference data. We select one person from those 27 persons and have that person to record his type writings every day, totally over 36 days. In this report, using those daily large data, we investigate that we can identify that person correctly or not. As a result, the followings are shown. 1. Every digraph in test data satisfies the range of mean+3.0×standard deviation of that digraph of the reference data．2. Identification experiments show that the method based on norm is superior to that based on similar digraph number. 3. With only three digraphs, we can identify person correctly for all test data.
Keyword (in Japanese) (See Japanese page) 
(in English) digraph / keystroke latency / user identification / normalization / norm / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 396, CAS2009-68, pp. 25-30, Jan. 2010.
Paper # CAS2009-68 
Date of Issue 2010-01-21 (CAS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CAS2009-68

Conference Information
Committee CAS  
Conference Date 2010-01-28 - 2010-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoudai-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CAS 
Conference Code 2010-01-CAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) User keystroke identification among small reference data by large personal data 
Sub Title (in English)  
Keyword(1) digraph  
Keyword(2) keystroke latency  
Keyword(3) user identification  
Keyword(4) normalization  
Keyword(5) norm  
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1st Author's Name Yoshihiro Kaneko  
1st Author's Affiliation Gifu University (Gifu Univ.)
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Speaker Author-1 
Date Time 2010-01-28 15:00:00 
Presentation Time 25 minutes 
Registration for CAS 
Paper # CAS2009-68 
Volume (vol) vol.109 
Number (no) no.396 
Page pp.25-30 
#Pages 6 
Date of Issue 2010-01-21 (CAS) 

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