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Paper Abstract and Keywords
Presentation 2019-12-06 14:15
Writing authentication model using MLP and SMOTE in Web-testing
Daisuke Hayashi, Taisuke Kawamata, Takako Akakura (TUS) MBE2019-53 NC2019-44
Abstract (in Japanese) (See Japanese page) 
(in English) Since the common examinee authentication method in Web-testing is based only on the ID and password at the beginning of the test, it is easy to spoof during the test. To solve this problem, we proposed an examinee authentication method based on online feature values such as pen pressure and pen tilt when the examinee wrote the answer characters on a tablet PC. However, the accuracy of our previous research was insufficient. Hence, it was practically difficult to apply the examinee authentication method of previous research to Web-testing. One reason for this is because linear regression was used to combine multiple features. In this research, we constructed a handwriting authentication model using MLP for distance coupling. In addition, we applied SMOTE to adjust the imbalanced data with positive and negative cases. As a result, the accuracy of the authentication has improved compared to our previous research. Therefore, the effectiveness of the proposed method using MLP and SMOTE was confirmed.
Keyword (in Japanese) (See Japanese page) 
(in English) Web-testing / MLP / SMOTE / Writing authentication / Machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 328, NC2019-44, pp. 49-54, Dec. 2019.
Paper # NC2019-44 
Date of Issue 2019-11-29 (MBE, NC) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee NC MBE  
Conference Date 2019-12-06 - 2019-12-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Toyohashi Tech 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2019-12-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Writing authentication model using MLP and SMOTE in Web-testing 
Sub Title (in English)  
Keyword(1) Web-testing  
Keyword(2) MLP  
Keyword(3) SMOTE  
Keyword(4) Writing authentication  
Keyword(5) Machine learning  
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1st Author's Name Daisuke Hayashi  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Taisuke Kawamata  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Takako Akakura  
3rd Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2019-12-06 14:15:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # MBE2019-53, NC2019-44 
Volume (vol) vol.119 
Number (no) no.327(MBE), no.328(NC) 
Page pp.49-54 
#Pages
Date of Issue 2019-11-29 (MBE, NC) 


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