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Paper Abstract and Keywords
Presentation 2026-03-06 09:45
A Diffusion Model-Based Method for Generating Malicious Traffic Consisting of Small Flow Sequences
Akira Tsujikawa, Shungo Tanaka, Junji Takemasa, Yuki Koizumi (UOsaka) IN2025-89
Abstract (in Japanese) (See Japanese page) 
(in English) AI-based traffic generation becomes one of promising solutions for augmenting network attack traces due to the lack of high-quality and publicly available dataset. There have been existing studies that apply diffusion models to traffic generation. While these studies implicitly assume long flows composed of a thousand of packets, emerging slow DoS attacks are based on short flows composed of tens of packets. In the diffusion model, such short flows are represented as images with limited vertical resolution. As a result, flow-specific features tend to be lost due to information loss caused by the image down-sampling operations inherent in diffusion models. To address this problem, we propose a method that enables the generation of short-flow-based attack traffic by using training images constructed through vertical concatenation of multiple short flows. We validate the effectiveness of the proposed approach through a case study on generating Slowloris DoS attack traffic.
Keyword (in Japanese) (See Japanese page) 
(in English) Attack traffic generation / Diffusion model / Slow DoS attack / Slowloris DoS attack / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 386, IN2025-89, pp. 162-167, March 2026.
Paper # IN2025-89 
Date of Issue 2026-02-25 (IN) 
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 IN2025-89

Conference Information
Committee IN NS  
Conference Date 2026-03-04 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Ken Shichoson Jichi Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2026-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Diffusion Model-Based Method for Generating Malicious Traffic Consisting of Small Flow Sequences 
Sub Title (in English)  
Keyword(1) Attack traffic generation  
Keyword(2) Diffusion model  
Keyword(3) Slow DoS attack  
Keyword(4) Slowloris DoS attack  
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1st Author's Name Akira Tsujikawa  
1st Author's Affiliation The University of Osaka (UOsaka)
2nd Author's Name Shungo Tanaka  
2nd Author's Affiliation The University of Osaka (UOsaka)
3rd Author's Name Junji Takemasa  
3rd Author's Affiliation The University of Osaka (UOsaka)
4th Author's Name Yuki Koizumi  
4th Author's Affiliation The University of Osaka (UOsaka)
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Speaker Author-1 
Date Time 2026-03-06 09:45:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2025-89 
Volume (vol) vol.125 
Number (no) no.386 
Page pp.162-167 
#Pages 6 
Date of Issue 2026-02-25 (IN) 

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