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Paper Abstract and Keywords
Presentation 2025-07-09 14:15
Evaluation of Perfectly Secure Steganography in Text Documents Using Topic Model Analysis
Katsuyuki Umezawa, Toshikatsu Kashima (Shonan Inst. of Tech.), Sven Wohlgemuth (Independent), Kazuo Takaragi (HISAFE) ISEC2025-64 SITE2025-54 BioX2025-78 HWS2025-53 ICSS2025-64 EMM2025-67
Abstract (in Japanese) (See Japanese page) 
(in English) Perfectly secure steganography is a technique that makes the very presence of embedded information undetectable by ensuring that the statistical distribution of the content remains completely unchanged before and after the embedding process, effectively achieving zero Kullback-Leibler (KL) divergence. However, when the target content is a text document--particularly one containing distinct linguistic features such as dialects or age-specific expressions--the unnaturalness perceived by human readers may inadvertently reveal the existence of embedded information. In this study, we evaluate stegotexts generated by perfectly secure steganography using metrics other than KL divergence. Specifically, we employ Latent Dirichlet Allocation (LDA) and cosine similarity to calculate inter-document similarity, in order to verify whether the generated stegotexts exhibit topical consistency with a group of documents sharing the same topic.
Keyword (in Japanese) (See Japanese page) 
(in English) perfectly secure steganography / topic model analysis / latent Dirichlet allocation / cosine similarity / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 99, ISEC2025-64, pp. 320-325, July 2025.
Paper # ISEC2025-64 
Date of Issue 2025-06-30 (ISEC, SITE, BioX, HWS, ICSS, EMM) 
ISSN 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 ISEC2025-64 SITE2025-54 BioX2025-78 HWS2025-53 ICSS2025-64 EMM2025-67

Conference Information
Committee HWS BioX ISEC SITE ICSS EMM IPSJ-CSEC IPSJ-SPT 
Conference Date 2025-07-07 - 2025-07-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Sapporo Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ISEC 
Conference Code 2025-07-HWS-BioX-ISEC-SITE-ICSS-EMM-CSEC-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Perfectly Secure Steganography in Text Documents Using Topic Model Analysis 
Sub Title (in English)  
Keyword(1) perfectly secure steganography  
Keyword(2) topic model analysis  
Keyword(3) latent Dirichlet allocation  
Keyword(4) cosine similarity  
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1st Author's Name Katsuyuki Umezawa  
1st Author's Affiliation Shonan Institute of Technology (Shonan Inst. of Tech.)
2nd Author's Name Toshikatsu Kashima  
2nd Author's Affiliation Shonan Institute of Technology (Shonan Inst. of Tech.)
3rd Author's Name Sven Wohlgemuth  
3rd Author's Affiliation Independent (Independent)
4th Author's Name Kazuo Takaragi  
4th Author's Affiliation HISAFE (HISAFE)
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Speaker Author-1 
Date Time 2025-07-09 14:15:00 
Presentation Time 25 minutes 
Registration for ISEC 
Paper # ISEC2025-64, SITE2025-54, BioX2025-78, HWS2025-53, ICSS2025-64, EMM2025-67 
Volume (vol) vol.125 
Number (no) no.99(ISEC), no.100(SITE), no.101(BioX), no.102(HWS), no.103(ICSS), no.104(EMM) 
Page pp.320-325 
#Pages 6 
Date of Issue 2025-06-30 (ISEC, SITE, BioX, HWS, ICSS, EMM) 

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