論文 - 油田 健太郎
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Okazaki N., Usuzaki S., Waki T., Kawagoe H., Park M., Yamaba H., Aburada K.
Future Internet 16 ( 8 ) 2024年8月
担当区分：最終著者 掲載種別：研究論文（学術雑誌） 出版者・発行元：Future Internet
We propose a detection system incorporating a weighted voting mechanism that reflects the vote’s reliability based on the accuracy of each detector’s examination, which overcomes the problem of cooperative detection. Collaborative malware detection is an effective strategy against zero-day attacks compared to one using only a single detector because the strategy might pick up attacks that a single detector overlooked. However, cooperative detection is still ineffective if most anti-virus engines lack sufficient intelligence to detect zero-day malware. Most collaborative methods rely on majority voting, which prioritizes the quantity of votes rather than the quality of those votes. Therefore, our study investigated the zero-day malware detection accuracy of the collaborative system that optimally rates their weight of votes based on their malware categories of expertise of each anti-virus engine. We implemented the prototype system with the VirusTotal API and evaluated the system using real malware registered in MalwareBazaar. To evaluate the effectiveness of zero-day malware detection, we measured recall using the inspection results on the same day the malware was registered in the MalwareBazaar repository. Through experiments, we confirmed that the proposed system can suppress the false negatives of uniformly weighted voting and improve detection accuracy against new types of malware.
DOI： 10.3390/fi16080259
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Usability improvement in color constancy CAPTCHA
Usuzaki Shotaro, Yihan Wang, Aburada Kentaro, Yamaba Hisaaki, Takatsuka Kayoko, Katayama Tetsuro, Park Mirang, Okazaki Naonobu
IEICE Communications Express 13 ( 8 ) 331 - 334 2024年8月
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） 出版者・発行元：一般社団法人 電子情報通信学会
CAPTCHAs have traditionally been used to deter bots, but ensuring protection against machine learning attacks has become difficult. To tackle this problem, we proposed a CAPTCHA based on color constancy, a human cognitive ability that is difficult for machines to reproduce. Although this method achieved high attack resistance while maintaining usability compared to existing CAPTCHAs, the response time increased due to the color selection operation. To address this, we changed the task to a click-type format while keeping the original concept. Our experimental results show that our method matches the response times of existing CAPTCHAs without compromising attack resistance.
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視覚の補完機能を利用した文字型CAPTCHAの一検討
西秀峻, 鎌田大貴, 臼崎翔太郎, 油田健太郎, 山場久昭, 朴美娘, 岡崎直宣
火の国情報シンポジウム2025 1 - 6 2025年3月
担当区分：責任著者 掲載種別：研究論文（研究会，シンポジウム資料等）
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IoTマルウェア検知精度向上のためのパラメータに応じたOne-Class SVMの性能調査
川越彪雅, 高崎球宇我, 臼崎翔太郎, 油田健太郎, 山場久昭, 朴美娘, 岡崎直宣
火の国情報シンポジウム2025 1 - 7 2025年3月
担当区分：責任著者 掲載種別：研究論文（研究会，シンポジウム資料等）
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反射成分が含まれる画像におけるプライバシーリスク検出手法の検討
臼﨑翔太郎，油田健太郎，山場久昭，岡崎直宣
情報処理学会 第87回全国大会 1 - 8 2025年3月
掲載種別：研究論文（研究会，シンポジウム資料等）
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Aridome N., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 575 - 579 2025年2月
掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Proceedings of International Conference on Artificial Life and Robotics
As a method for detecting layout defects in web pages, image-based visual regression testing is proposed. However, it has the problem that it takes time to detect unintended layout differences that are not based on HTML code changes. This paper proposes a prototype of MixVRT which is a tool to detect layout defects in web pages. It is a visual regression testing tool that highlights layout defects in web pages. From evaluation experiments, the time find to layout defects can be reduced.
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Kimura Y., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Proceedings of International Conference on Artificial Life and Robotics 580 - 584 2025年2月
掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Proceedings of International Conference on Artificial Life and Robotics
The digitalization of forms is being promoted. One of the effective ways to manage contents filled in fields is using electronic forms. Several tools have been developed to generate them automatically. However, when you use a paper form, the layout of the original form may change, and it takes time to generate electronic one because it is necessary to place fill-in fields on an electronic form by dragging with a mouse. This paper proposes a method for automatic fill-in fields detection and labels assignment to reduce time required to place fill-in fields without changing the layout. The proposed method can reduce the time to place fill-in fields.
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Introducing Generative AI into Unrealistic Image CAPTCHA for Effective Image Generation 査読あり
Kana Saiki, Hisaaki Yamaba, Shotaro Usuzaki, Kentaro Aburada, Masayuki Mukunoki, Mirang Park, Naonobu Okazaki
Proc. 30th Int'l Sympo. on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025年1月
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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Introduction of Feature Points in Images for Improvement of Finding Letters Type CAPTCHA Based on Neural Style Transfer 査読あり
Ramu Kiura, Hisaaki Yamaba, Shotaro Usuzaki, Kentaro Aburada, Masayuki Mukunoki, Mirang Park, Naonobu Okazaki
Proc. 30th Int'l Sympo. on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025年1月
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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Investigation of Detection Methods for Trojaned DNNs under Specific Conditions 査読あり
Shunya Izaki, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 30th Int'l Sympo. on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025年1月
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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A study of Collaborative malware detection using item response theory 査読あり
Takuro Inada, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 30th Int'l Sympo. on Artificial Life and Robotics 2025 (AROB 30th 2025) 2025年1月
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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Proposal and Evaluation of a Gaze Authentication Method that Combines Image Selection and Eye Movement Trajectory Features 査読あり
Mirang Park, Zhaolin Chang, Shotaro Usuzaki, Kentaro Aburada, Naonobu Okazaki
2024 12th International Symposium on Computing and Networking Workshops (CANDARW) 359 - 364 2024年11月
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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ASLA: Automatic Segmentation and Labeling by Deep Learning for Document Pictures 査読あり
Kakinoki K., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Journal of Robotics, Networking and Artificial Life 10 ( 4 ) 362 - 367 2024年11月
記述言語：英語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Journal of Robotics, Networking and Artificial Life
In this paper, we propose ASLA, a segmentation and label generation system for document pictures. ASLA reduces the duration needed for separating document pictures into areas and label generation. By using the application example, we have verified that ASLA operates properly. We have evaluated the usefulness of ASLA in regard to time and accuracy. We have assessed the efficacy of the rule-based area correction method. As a result, we have verified that ASLA is useful.
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Onaga H., Katayama T., Kita Y., Yamaba H., Aburada K., Okazaki N.
Journal of Robotics, Networking and Artificial Life 10 ( 4 ) 336 - 341 2024年9月
記述言語：英語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Journal of Robotics, Networking and Artificial Life
It is difficult for mobile application developers to understand the structure of large and complex mobile applications. To support iOS application development, we proposed SwiftDiagram: a visualization of the static structure of Swift source code, and demonstrated its usefulness. To further support them, this paper has implemented RAGESS(Real-time Automatic Generation of SwiftDiagram System), which is a software visualization tool. RAGESS performs static analysis on Swift source code and automatically generates the corresponding SwiftDiagram whenever the target project build succeeds.
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視線による画像選択と視線軌跡の特徴量を組み合わせた個人認証システム
常 照林，臼﨑 翔太郎，油田 健太郎，岡崎 直宣，朴 美娘
セキュリティサマーサミット 2024年7月
掲載種別：研究論文（研究会，シンポジウム資料等）
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Kanta Kakinoki, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
The 2024 International Conference on Artificial Life and Robotics (ICAROB2024) 262 - 266 2024年2月
記述言語：日本語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Proceedings of International Conference on Artificial Life and Robotics
Writing VDM++ specifications is difficult. The existing method can automatically generate type and constant definitions in VDM++ specification from natural language specification using machine learning. This paper proposes a method to generate classes and instance variable definitions in the VDM++ specification from natural language specification to improve the usefulness of the existing method. From the evaluation experiment by using F-values, it has been confirmed that the proposed method can improve the usefulness of the existing method.
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Shota Takakura, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
The 2024 International Conference on Artificial Life and Robotics (ICAROB2024) 257 - 261 2024年2月
記述言語：日本語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Proceedings of International Conference on Artificial Life and Robotics
Writing VDM++ specifications is difficult. The existing method can automatically generate type and constant definitions in VDM++ specification from natural language specification using machine learning. This paper proposes a method to generate classes and instance variable definitions in the VDM++ specification from natural language specification to improve the usefulness of the existing method. From the evaluation experiment by using F-values, it has been confirmed that the proposed method can improve the usefulness of the existing method.
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Haruki Onaga, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
The 2024 International Conference on Artificial Life and Robotics (ICAROB2024) 252 - 256 2024年2月
記述言語：日本語 掲載種別：研究論文（国際会議プロシーディングス） 出版者・発行元：Proceedings of International Conference on Artificial Life and Robotics
Writing VDM++ specifications is difficult. The existing method can automatically generate type and constant definitions in VDM++ specification from natural language specification using machine learning. This paper proposes a method to generate classes and instance variable definitions in the VDM++ specification from natural language specification to improve the usefulness of the existing method. From the evaluation experiment by using F-values, it has been confirmed that the proposed method can improve the usefulness of the existing method.
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On an improvement of hand gesture recognition for realizing an s-EMG based user authentication using finger spelling 査読あり
Hisaaki Yamaba, Naoki Sawagashira, Kentaro Aburada, Tetsuro Katayama, Naonobu Okazaki
Proc. 29th Int'l Sympo. on Artificial Life and Robotics 2024 (AROB 29th 2024) 933 - 938 2024年1月
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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Investigation of malware classification based on image representation 査読あり
Hyoga Kawagoe, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 29th Int'l Sympo. on Artificial Life and Robotics 2024 (AROB 29th 2024) 929 - 932 2024年1月
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）