油田 健太郎 (アブラダ ケンタロウ)

ABURADA Kentaro

写真a

所属

工学教育研究部 工学科情報通信工学プログラム担当

職名

准教授

外部リンク

 

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  • Development of keypads which use colors or shapes to prevent shoulder surfing

    Masuzawa R., Aburada K., Yamaba H., Katayama T., Okazaki N.

    Artificial Life and Robotics   2023年8月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Artificial Life and Robotics  

    In conventional smart phones and ATMs, a four-digit passcode is entered into a keypad, and the user confirms whether the passcode matches the keypad. However, there is a risk that a third party can easily steal the password by watching the code entry or analyzing the position of fingerprints left on the keypad. There are other solutions, such as biometric authentication or the use of special displays, but both of them are costly and difficult to implement. In this study, we propose a keypad that does not leave fingerprints on the screen, is low cost, and can be used to input passcodes without worry, even if someone is standing next to it. The proposed keypad uses cursors that are moved by directional keys to select numbers, making fingerprint analysis difficult. Because attackers do not know the color that the user has selected, they cannot know which cursor the user is moving. To verify the safety and convenience of this system, we conducted experiments on subjects in their 20 s and 50 s. The results showed that the average difference in authentication time from the conventional method was about 5 s, and the method was generally convenient. We conclude that our keypad system is secure, because no peeping attacks on a subject were successful in guessing the subject’s passcode.

    DOI: 10.1007/s10015-023-00890-y

    Scopus

  • Tsunami evacuation simulation considering road width in Aoshima district

    Nabeyama K., Usuzaki S., Aburada K., Yamaba H., Katayama T., Okazaki N.

    Artificial Life and Robotics   2023年7月

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    掲載種別:研究論文(学術雑誌)   出版者・発行元:Artificial Life and Robotics  

    Japan is one of the countries in the world where natural disasters occur most frequently. Typhoons, earthquakes, tsunamis, volcanic eruptions, and many other natural disasters occur in Japan every year, and the risks are immeasurable. Japan is especially prone to earthquakes because of its location on the North American Plate, Eurasian Plate, Pacific Plate, and Philippine Sea Plate. Preparation for a Nankai Trough earthquake is one of the most important issues. A Nankai trough earthquake is predicted to occur with a probability of 70–80% within 30 years. Accordingly, a tsunami of more than 10 ms is expected to hit a wide area along the Pacific coast from the Kanto region to the Kyushu region, and the impact is expected to be significant. When a tsunami warning is issued, an evacuation support system that provides information on evacuation sites and routes enables faster and safer evacuation actions. In a previous study conducted in our laboratory, we proposed an evacuation support system using Low-Power Wide-Area communications and conducted a simulation to find ways to improve the evacuation support system. However, the simulation was insufficient in that it did not consider delays in evacuation completion time due to road congestion caused by limited road width, which can be expected in an actual disaster. In our current research, as an improvement to make the simulation more realistic for further developing our evacuation support system, we propose a simulation that considers road width. We examined how adoption of this simulation methodology would affect the simulation results by comparing simulations that did and did not consider road width. As a result, the proposed method showed a lower percentage of completed evacuations than the previous simulation, especially for children and the elderly. The reason for this result is that when evacuations begin simultaneously, crowding occurs as people all rush to evacuation centers. This congestion on the roads near evacuation centers prevents people from completing their evacuations. Such a phenomenon is expected to occur not only in simulations but also on actual roads. For this reason, our proposed simulation method that considers road width is a more realistic simulation. Since evacuations by car in the event of a disaster also occur, a future issue is to simulate car congestion as well. Furthermore, simulating what would happen if a disaster made a road impassable is also important.

    DOI: 10.1007/s10015-023-00888-6

    Scopus

  • Development and Evaluation of a Deep Learning Based System to Predict District-Level Maize Yields in Tanzania 査読あり

    Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki

    Agriculture (MDPI)   13 ( 3 )   2023年3月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)  

    DOI: 10.3390/agriculture13030627

  • On an improvement of hand gesture recognition for realizing a user authentication system using s-EMG 査読あり

    Soichiro Ishibashi, Hisaaki Yamaba, Kentaro Aburada, Tetsuro Katayama, Naonobu Okazaki

    Proc. 28th Int'l Sympo. on Artificial Life and Robotics 2023 (AROB 28th 2023)   968 - 972   2023年1月

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    記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)  

  • A study of improving the safety of defense system based on whitelist 査読あり

    Tsubasa Waki, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki

    Proc. 28th Int'l Sympo. on Artificial Life and Robotics 2023 (AROB 28th 2023)   963 - 967   2023年1月

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    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(国際会議プロシーディングス)  

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受賞 【 表示 / 非表示

  • 火の国情報シンポジウム2022奨励賞

    2022年3月   情報処理学会九州支部  

    永井 麻裕,他

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    受賞区分:国内学会・会議・シンポジウム等の賞  受賞国:日本国

  • Best Paper Award

    2019年11月   BWCCA-2019  

    渡辺 一樹,他

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    受賞区分:国際学会・会議・シンポジウム等の賞  受賞国:日本国

  • 奨励発表賞

    2018年12月   情報処理学会  

    本田 佳鈴,他

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    受賞区分:国内学会・会議・シンポジウム等の賞  受賞国:日本国

  • 奨励発表賞

    2018年11月   情報処理学会  

    臼崎 翔太郎,他

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    受賞区分:国内学会・会議・シンポジウム等の賞  受賞国:日本国

  • Best Paper Award

    2017年8月   NBiS-2017  

    臼崎 翔太郎,他

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    受賞区分:国際学会・会議・シンポジウム等の賞  受賞国:日本国

科研費(文科省・学振・厚労省)獲得実績 【 表示 / 非表示

  • クラウドサービスに対する大規模な分散型攻撃の検知とその規模の縮小化に関する研究

    研究課題/領域番号:21K11849  2021年04月 - 2024年03月

    独立行政法人日本学術振興会  科学研究費補助金  基盤研究(C)

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    担当区分:研究代表者 

  • クラウドサービスに対する経済的な損失を目的にしたEDoS攻撃の検知に関する研究

    研究課題/領域番号:18K11268  2018年04月 - 2023年03月

    科学研究費補助金  基盤研究(C)

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    担当区分:研究代表者 

  • DXの急展開に対応する超強靭なパスワード・リ スト攻撃防止基盤の確立

    研究課題/領域番号:22K12013  2022年04月 - 2025年03月

    独立行政法人日本学術振興会  科学研究費補助金  基盤研究(C)

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    担当区分:研究分担者 

  • 深層学習に基づく筋電位個人認証を利用した多要素個人認証手法の開発

    研究課題/領域番号:20K11812  2020年04月 - 2023年03月

    独立行政法人日本学術振興会  科学研究費補助金  基盤研究(C)

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    担当区分:研究分担者 

  • 筋電位による個人認証システムの実現への深層学習の適用

    研究課題/領域番号:17K00186  2017年04月 - 2021年03月

    科学研究費補助金  基盤研究(C)

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    担当区分:研究分担者 

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研究・技術シーズ 【 表示 / 非表示