Details of a Researcher - ABURADA Kentaro

Papers - ABURADA Kentaro

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クライアントのHTTPリクエスト送信動作に着目したボット検知手法の検討 Reviewed

藤竜成, 油田健太郎, 山場久昭, 朴美娘, 岡崎直宣

情報処理学会マルチメディア，分散，協調とモバイルシンポジウム（DICOMO2018）論文集 2018.7

Language：Japanese Publishing type：Research paper (scientific journal)

色恒常性を利用したカラー CAPTCHA の検討 Reviewed

臼崎翔太郎, 油田健太郎, 山場久昭, 椋木雅之, 朴美娘, 岡崎直宣

情報処理学会マルチメディア，分散，協調とモバイルシンポジウム（DICOMO2018）論文集 2018.7

Language：Japanese Publishing type：Research paper (scientific journal)

ランダム性を持ったあみだくじ型視線認証の検討 Reviewed

宮崎翔吾, 油田健太郎, 山場久昭, 朴美娘, 岡崎直宣

情報処理学会マルチメディア，分散，協調とモバイルシンポジウム（DICOMO2018）論文集 2018.7

Language：Japanese Publishing type：Research paper (scientific journal)

Java プログラムのデータ遷移可視化ツールTFVIS の開発 Reviewed

佐藤拓弥, 片山徹郎, 喜多義弘, 山場久昭, 油田健太郎, 岡崎直宣

情報処理学会論文誌 59 ( 4 ) 1137 - 1149 2018.4

Language：Japanese Publishing type：Research paper (scientific journal)

On applying support vector machines to a user authentication method using surface electromyogram signals Reviewed

Hisaaki Yamaba, Tokiyoshi Kurogi, Kentaro Aburada, Shin-Ichiro Kubota, Tetsuro Katayama, Mirang Park, Naonobu Okazaki

Artificial Life and Robotics 23 ( 1 ) 87 - 93 2018.3

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics

© 2017, ISAROB. At present, mobile devices such as tablet-type PCs and smart phones have widely penetrated into our daily lives. Therefore, an authentication method that prevents shoulder surfing is needed. We are investigating a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are detected over the skin surface, are generated by the electrical activity of muscle fibers during contraction. Muscle movement can be differentiated by analyzing the s-EMG. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In this paper, we introduced support vector machines (SVM) for improvement of the method of identifying gestures. A series of experiments was carried out to evaluate the performance of the SVM based method as a gesture classifier and we also discussed its security.

DOI： 10.1007/s10015-017-0404-z

Scopus

Implementation and User Testing of Personal Authentication Having Shoulder Surfing Resistance with Mouse Operations Reviewed

Makoto Nagatomo, Yoshihiro Kita, Kentaro Aburada, Naonobu Okazaki, Mirang Park

IEICE Communications Express 7 ( 3 ) 2018.3

Language：English Publishing type：Research paper (scientific journal)

DOI： 10.1587/comex.2017XBL0170

A proposal of highly responsive distributed denial-of-service attacks detection using real-time burst detection method Reviewed

Usuzaki S., Arikawa Y., Yamaba H., Aburada K., Kubota S., Park M., Okazaki N.

Journal of Information Processing 26 257 - 266 2018.3

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Journal of Information Processing

© 2018 Information Processing Society of Japan. Distributed Denial-of-Service (DDoS) attack detection systems are classified into a signature based approach and an anomaly based approach. However, such methods tend to suffer from low responsiveness. On the other hand, real-time burst detection which is used in data mining offers two advantages over traditional statistical methods. First, it can be used for real-time detection when an event is occurring, and second, it can work with less processing as information about events are compressed, even if a large number of events occur. Here, the authors add the function for attack detection in real-time burst detection technique, and propose a highly responsive DDoS attack detection technique. This paper performs experiments to evaluate its effectiveness, and discusses its detection accuracy and processing performance.

DOI： 10.2197/ipsjjip.26.257

Scopus

Evaluation of farmers market information system to connect with some social stakeholders Reviewed

Tende I., Kubota S., Yamaba H., Aburada K., Okazaki N.

Journal of Information Processing 26 247 - 256 2018.3

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Journal of Information Processing

© 2018 Information Processing Society of Japan. A large part of the population in Tanzania consists of rural smallholder farmers. Due to lack of market information, farmers sell crops to middlemen at lower prices and hence don’t get enough profits. Previously we developed a WEB and SMS (Short Message Service) based Farmers Market Information System using a Waterfall model which automatically replies to farmers’ requests for market prices of crops through SMS. We then improved the system so that, farmers can access crop buyers’ details and crop demand reports through SMS while crop buyers can access farmers’ details and crop demand reports through SMS or WEB. We also evaluated the effectiveness of the system to crop buyers’ incomes and times for accessing market information after implementing the system in Tanzania in the SWAHILI language. In this paper we further evaluate the system effectiveness. Findings reveal that the system helped farmers to get improved incomes and access market information in shorter times. The system also helped farmers and crop buyers to sell and buy larger quantities of crops respectively. The findings also reveal that young people can learn and use the system more easily than old people. Users can also easily learn and use the system if they can read and write in the SWAHILI language regardless of their education levels.

DOI： 10.2197/ipsjjip.26.247

Scopus

An Examination of CAPTCHA for tolerance of Relay attacks and Automated Attacks Reviewed

Ryohei Tatsuda, Hisaaki Yamaba, Kentaro Aburada, Tetsuro Katayama, Mirang Park, Norio Shiratori, Naonobu Okazaki

Lecture Notes on Data Engineering and Communications Technologies 17 2018.2