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Paper Abstract and Keywords
Presentation 2023-03-03 10:10
Impact Analysis of Attacker Location Count on Fake-Type Content Poisoning Attack in ICN
Takuto Kudo (Fukuoka Univ.), Noriaki Kamiyama (Ritsumeikan Univ.) IN2022-101
Abstract (in Japanese) (See Japanese page) 
(in English) Information-centric networking (ICN) has been widely studied as a new network architecture for efficient content delivery. However, the problem of content poisoning attack (CPA), in which a malicious user inserts a large amount of fake content into the network under a legitimate name, thereby reducing the effectiveness of the cache, has been pointed out. However, existing studies assume a limited number of CPA schemes, and most of them are based on small network topologies and attacker locations, and do not consider the number of contaminated contents, contaminated nodes, and attacker locations. The impact of the number of contaminated contents, contaminated nodes, and attacker locations on the CPA threat has not been clarified. In this paper, we assume a original fake type CPA and analyze the impact of various factors on the effectiveness of CPAs and clarify the threat of CPAs by conducting multifaceted evaluations in a large network topology and at various attacker locations.
Keyword (in Japanese) (See Japanese page) 
(in English) ICN / Content Poisoning Attack / Cache / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 407, IN2022-101, pp. 211-216, March 2023.
Paper # IN2022-101 
Date of Issue 2023-02-23 (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 IN2022-101

Conference Information
Committee IN NS  
Conference Date 2023-03-02 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Centre + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2023-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Impact Analysis of Attacker Location Count on Fake-Type Content Poisoning Attack in ICN 
Sub Title (in English)  
Keyword(1) ICN  
Keyword(2) Content Poisoning Attack  
Keyword(3) Cache  
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1st Author's Name Takuto Kudo  
1st Author's Affiliation Fukuoka University (Fukuoka Univ.)
2nd Author's Name Noriaki Kamiyama  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
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Speaker Author-1 
Date Time 2023-03-03 10:10:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2022-101 
Volume (vol) vol.122 
Number (no) no.407 
Page pp.211-216 
#Pages 6 
Date of Issue 2023-02-23 (IN) 

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