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| Paper Abstract and Keywords | ||
| Presentation | 2022-03-11 09:10 Optimal Poisoning Attacks on Crowdsensing at Multiple Locations Rin Fujimoto (Fukuoka Univ), Noriaki Kamiyama (Ritsumeikan Univ)  NS2021-138 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | crowdsensing, data / data poisoning attack / multiple areas / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 433, NS2021-138, pp. 91-96, March 2022. | |
| Paper # | NS2021-138 | |
| Date of Issue | 2022-03-03 (NS) | |
| 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 | NS2021-138 |
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| Conference Information | |
| Committee | NS IN |
| Conference Date | 2022-03-10 - 2022-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2022-03-NS-IN |
| Language | Japanese |
| 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 |
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| 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) |
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| Speaker | Author-1 |
| Date Time | 2022-03-11 09:10:00 |
| Presentation Time | 20 minutes |
| Registration for | NS |
| Paper # | NS2021-138 |
| Volume (vol) | vol.121 |
| Number (no) | no.433 |
| Page | pp.91-96 |
| #Pages | 6 |
| Date of Issue | 2022-03-03 (NS) |
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