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Paper Abstract and Keywords
Presentation 2018-09-27 13:25
SVM Computing Considering Dimension Reduction in the Encrypted Domain
Ayana Kawamura, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metropolitan Univ.) LOIS2018-11 IE2018-31 EMM2018-50
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a SVM computing scheme with EtC images, and evaluate the effectiveness of the proposed scheme, where EtC images are images encrypted by the method, which has been proposed for Encryption-then-Systems with JPEG compression. Recently, cloud computing is spreading in many fields. However, the cloud computing has some serious issues for end users, such as unauthorized use and leak of data, and privacy compromise, due to unreliability of providers and some accidents. Because of such a situation, this paper considers privacy-preserving SVM computing. It is shown that generating EtC images is reduced to a generation scheme using an unitary transform matrix under the use of z-score normalization of the data, so it does not effect the accuracy of SVM computing, even when most of kernel fuctions are used. In addition, we propose a scheme for reducing the number of dimensions from EtC images directly by considering the block size used for encryption.The proposed scheme allows us to obtain the same results as those computed from unencrypted images with redued dimensions.Some face recognition experiments are carried out as a SVM classification scheme to experimentally confirm the effectiveness of the proposed scheme.
Keyword (in Japanese) (See Japanese page) 
(in English) SVM / Encryption-then-Compression / encrypted domain / JPEG / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 224, EMM2018-50, pp. 7-12, Sept. 2018.
Paper # EMM2018-50 
Date of Issue 2018-09-20 (LOIS, IE, EMM) 
ISSN Online edition: ISSN 2432-6380
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 LOIS2018-11 IE2018-31 EMM2018-50

Conference Information
Conference Date 2018-09-27 - 2018-09-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Beppu Int'l Convention Ctr. aka B-CON Plaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Multimedia Communication/System, Lifelog Applications, IP Broadcasting/Video Transmission, Media Security, Media Processing (AI, Deep Learning), etc. 
Paper Information
Registration To EMM 
Conference Code 2018-09-CMN-EMM-LOIS-IE-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) SVM Computing Considering Dimension Reduction in the Encrypted Domain 
Sub Title (in English)  
Keyword(1) SVM  
Keyword(2) Encryption-then-Compression  
Keyword(3) encrypted domain  
Keyword(4) JPEG  
1st Author's Name Ayana Kawamura  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
2nd Author's Name Takahiro Maekawa  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
3rd Author's Name Yuma Kinoshita  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
4th Author's Name Hitoshi Kiya  
4th Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
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Speaker Author-1 
Date Time 2018-09-27 13:25:00 
Presentation Time 25 minutes 
Registration for EMM 
Paper # LOIS2018-11, IE2018-31, EMM2018-50 
Volume (vol) vol.118 
Number (no) no.222(LOIS), no.223(IE), no.224(EMM) 
Page pp.7-12 
Date of Issue 2018-09-20 (LOIS, IE, EMM) 

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