Presentation 2022-03-11
Optimal Poisoning Attacks on Crowdsensing at Multiple Locations
Rin Fujimoto, Noriaki Kamiyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, crowdsensing using mobile devices has gathered wide attention as a way to estimate various environmental data with small cost. However, due to the nature of collecting data from unspecified users, the problem of data poisoning attack in which the estimation error of data is enlarged by intentionally sending data with large errors from malicious users. Existing researches have studied data poisoning attacks and prevention methods considering a single area, and data poisoning attacks for multiple areas have not been studied. In this paper, we propose methods of optimally designing the number of attackers allocated at each area to maximize the effectiveness of the attack in crowdsensing in which the measurement value is estimated at each area independently. Using computer simulations, we show that the proposed method generates error at many areas and increases the total error among all the areas.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) crowdsensing, data / data poisoning attack / multiple areas
Paper # NS2021-138
Date of Issue 2022-03-03 (NS)

Conference Information
Committee NS / IN
Conference Date 2022/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Akihiro Nakao(Univ. of Tokyo) / Kenji Ishida(Hiroshima City Univ.)
Vice Chair Tetsuya Oishi(NTT) / Kunio Hato(Internet Multifeed)
Secretary Tetsuya Oishi(NTT) / Kunio Hato(Chuo Univ.)
Assistant Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Network Systems / Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Optimal Poisoning Attacks on Crowdsensing at Multiple Locations
Sub Title (in English)
Keyword(1) crowdsensing, data
Keyword(2) data poisoning attack
Keyword(3) multiple areas
1st Author's Name Rin Fujimoto
1st Author's Affiliation Fukuoka University(Fukuoka Univ)
2nd Author's Name Noriaki Kamiyama
2nd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ)
Date 2022-03-11
Paper # NS2021-138
Volume (vol) vol.121
Number (no) NS-433
Page pp.pp.91-96(NS),
#Pages 6
Date of Issue 2022-03-03 (NS)