Presentation 2023-03-03
Impact Analysis of Attacker Location Count on Fake-Type Content Poisoning Attack in ICN
Takuto Kudo, Noriaki Kamiyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) ICN / Content Poisoning Attack / Cache
Paper # IN2022-101
Date of Issue 2023-02-23 (IN)

Conference Information
Committee IN / NS
Conference Date 2023/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Convention Centre + Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT)
Vice Chair Tsutomu Murase(Nagoya Univ.) / Takumi Miyoshi(Shibaura Insti of Tech.)
Secretary Tsutomu Murase(KDDI Research) / Takumi Miyoshi(Nagaoka Univ. of Tech.)
Assistant / Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Information Networks / Technical Committee on Network Systems
Language JPN
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
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.)
Date 2023-03-03
Paper # IN2022-101
Volume (vol) vol.122
Number (no) IN-407
Page pp.pp.211-216(IN),
#Pages 6
Date of Issue 2023-02-23 (IN)