Papers - ABURADA Kentaro
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An attempt at an introduction of deep learning for a user authentication system using s-EMG Reviewed
Hisaaki Yamaba, Kenya Shiraishi, Shotaro Usuzaki, Kayoko Takatsuka, Kentaro Aburada, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 26th Int'l Sympo. on Artificial Life and Robotics 2021 (AROB 26th 2021) 1 - 5 2021.1
Language：English Publishing type：Research paper (international conference proceedings)
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Blockchain-based vote-type unknown malware detection method using a characteristic of anti-virus vendors' voting Reviewed
Hiroki Muranaka, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
Proc. 26th Int'l Sympo. on Artificial Life and Robotics 2021 (AROB 26th 2021) 1 - 5 2021.1
Language：English Publishing type：Research paper (international conference proceedings)
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Improvement of RETUSS to Ensure Traceability between Sequence Diagram in UML and Java Source Code in Real Time Reviewed
Kaoru Arima, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Proc. 2021 Int’l Conf. on Artificial Life and Robotics (ICAROB 2021) 352 - 355 2021.1
Language：English Publishing type：Research paper (international conference proceedings)
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Proposal and Evaluation of a Gesture Authentication Method with Peep Resistance for Smartwatches
Park M., Aburada K., Okazaki N.
Proceedings - 2021 9th International Symposium on Computing and Networking Workshops, CANDARW 2021 359 - 364 2021
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Proceedings - 2021 9th International Symposium on Computing and Networking Workshops, CANDARW 2021
The use of mobile terminals with small touchscreens such as smartwatches has increased dramatically in recent years. A PIN or pattern lock is commonly used for personal authentication on such devices, but because the information is displayed directly, authentication information can be leaked to someone peeking at the screen. In this paper, we propose a gesture-based smartwatch authentication method that reduces the likelihood of leaks by allowing the owner to include a dummy (or "fake") number at the time of authentication registration. The dummy number enables the user to perform an authenticating gesture different from that indicated by the icon displayed on the screen. In a series of experiments, we confirmed the usability of the proposed method, evaluated the effect of long-term familiarity and assessed the method's resistance to shoulder-surfing. In the usability experiment, the authentication time and success rate were 10.9 seconds and 73.3%, respectively. The authentication time and success rate in the long-term familiarity experiment improved to 8.8 seconds and 93%, and the leakage rate in the peep experiments was 0%.
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Katayama T., Shigyo Y., Kita Y., Yamaba H., Aburada K., Okazaki N.
Journal of Robotics, Networking and Artificial Life 7 ( 3 ) 165 - 169 2020.12
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Journal of Robotics, Networking and Artificial Life
The natural language includes ambiguous expressions. Vienna Development Method (VDM) is one of methodology on the formal methods to write the specification without ambiguity. Because VDM++ is written by strict grammar, it is difficult to write a VDM++ specification. This research attempts to generate a VDM++ specification automatically from a natural language specification by machine learning. To generate a VDM++ specification, it is necessary to extract words that consist of predicate corresponding to the function and nouns corresponding to variable from the natural language specification. This paper proposes an approach to generate a VDM++ specification based on its grammar from the classified word list. Identifiers are generated from the classified word list, and then the VDM++ specification can be generated by converting them into VDM++ grammar.
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FMD-VS: A virtual sensor to index FMD virus scattering Reviewed
Takatsuka K., Sekiguchi S., Yamaba H., Aburada K., Mukunoki M., Okazaki N.
PLoS ONE 15 ( 9 September ) 2020.9
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：PLoS ONE
Foot-and-mouth disease (FMD) models—analytical models for tracking and analyzing FMD outbreaks—are known as dominant tools for examining the spread of the disease under various conditions and assessing the effectiveness of countermeasures. There has been some remarkable progress in modeling research since the UK epidemic in 2001. Several modeling methods have been introduced, developed, and are still growing. However, in 2010 when a FMD outbreak occurred in the Miyazaki prefecture, a crucial problem reported: Once a regional FMD outbreak occurs, municipal officials in the region must make various day-today decisions throughout this period of vulnerability. The deliverables of FMD modeling research in its current state appear insufficient to support the daily judgments required in such cases. FMD model can be an efficient support tool for prevention decisions. It requires being conversant with modeling and its preconditions. Therefore, most municipal officials with no knowledge or experience found full use of the model difficult. Given this limitation, the authors consider methods and systems to support users of FMD models who must make real-time epidemic-related judgments in the infected areas. We propose a virtual sensor, designated “FMD-VS,” to index FMD virus scattering in conditions where there is once a notion of FMD; and (2) shows how we apply the developed FMD-VS technique during an outbreak. In (1), we show our approach to constructing FMD-VS based on the existing FMD model and offer an analysis and evaluation method to assess its performance. We again present the results produced when the technique applied to 2010 infection data from the Miyazaki Prefecture. For (2), we outline the concept of a method that supports the prevention judgment of municipal officials and show how to use FMD-VS.
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主観的輪郭を用いた回転3Dテキスト型CAPTCHAの提案 Reviewed
臼崎翔太郎，油田健太郎，山場久昭，片山徹郎，椋木雅之，朴美娘，岡崎直宣
電子情報通信学会論文誌B J103-B ( 8 ) 332 - 343 2020.8
Language：Japanese Publishing type：Research paper (scientific journal)
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On a user authentication method to realise an authentication system using s-EMG Reviewed
Hisaaki Yamaba, Shotaro Usuzaki, Kayoko Takatsuka, Kentaro Aburada, Tetsuro Katayama, Mirang Park, Naonobu Okazaki
INTERNATIONAL JOURNAL OF GRID AND UTILITY COMPUTING 11 ( 5 ) 725 - 734 2020.5
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：INDERSCIENCE ENTERPRISES LTD
To prevent shoulder-surfing attacks, we proposed a user authentication method using surface electromyogram (s-EMG) signals, which can be used to identify who generated the signals and which gestures were made. Our method uses a technique called 'pass-gesture', which refers to a series of hand gestures, to achieve s-EMG-based authentication. However, it is necessary to introduce computer programs that can recognise gestures from the s-EMG signals. In this paper, we propose two methods that can be used to compare s-EMG signals and determine whether they were made by the same gesture. One uses support vector machines (SVMs), and the other uses dynamic time warping. We also introduced an appropriate method for selecting the validation data used to train SVMs using correlation coefficients and cross-correlation functions. A series of experiments was carried out to confirm the performance of those proposed methods, and the effectiveness of the two methods was confirmed.
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Evaluation of Yubimoji Based Gestures for Realizing User Authentication Method Using s-EMG Reviewed
Yamaba H., Nagatomo Y., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
Advances in Intelligent Systems and Computing 1150 AISC 834 - 844 2020.3
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Advances in Intelligent Systems and Computing
© 2020, Springer Nature Switzerland AG. At the present time, since mobile devices such as tablet-type PCs and smart phones have penetrated deeply into our daily lives, an authentication method that prevents shoulder surfing attacks comes to be important. 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 generated by the electrical activity of muscle fibers during contraction, can be detected over the skin surface, and muscle movement can be differentiated by analyzing the s-EMG signals. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In order to realize this method, we have to prepare a sufficient number of gestures that are used to compose passwords. In this paper, we adopted fingerspelling as candidates of such gestures. We introduced manual kana of the Japanese Sign Language syllabary and selected the candidate gestures based on them. Their performances were evaluated by constructing their identifier using support vector machines.
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分散機械学習における勾配の異常検知を用いたブロックチェーンシステムの提案とその実現性の評価
長友 誠, 油田 健太郎，岡崎 直宣，朴 美娘
IPSJ SIG Technical Reports 2020.3
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Identification of Manual Alphabets Based Gestures Using s-EMG for Realizing User Authentication Reviewed
Yamaba H., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
Lecture Notes on Data Engineering and Communications Technologies 47 323 - 333 2020.1
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Lecture Notes on Data Engineering and Communications Technologies
© 2020, Springer Nature Switzerland AG. At the present time, since mobile devices such as tablet-type PCs and smart phones have penetrated deeply into our daily lives, an authentication method that prevents shoulder surfing attacks comes to be important. 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 generated by the electrical activity of muscle fibers during contraction, can be detected over the skin surface, and muscle movement can be differentiated by analyzing the s-EMG signals. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In order to realize this method, we have to prepare a sufficient number of gestures that are used to compose passwords. In this paper, we adopted fingerspelling as candidates of such gestures. We introduced manual kana of the Japanese Sign Language syllabary and compared the identification performance of some candidate sets of feature values with adopting support vector machines.
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Proposal of an Algorithm to Generate VDM++ by Using Words Extracted from the Natural Language Specification Reviewed
Yasuhiro Shigyo, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Nanoubu Okazaki
Proc. 2020 Int’l Conf. on Artificial Life and Robotics (ICAROB 2020) 2020.1
Language：English Publishing type：Research paper (international conference proceedings)
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The Measurement of Class Cohesion using Semantic Approach Reviewed
Bayu Priyambadha, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Nanoubu Okazaki
Proc. 2020 Int’l Conf. on Artificial Life and Robotics (ICAROB 2020) 2020.1
Language：English Publishing type：Research paper (international conference proceedings)
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Test Cases Redundant Elimination on Code Coverage Uses Distance and Correlation Measurement Method Reviewed
Mochamad Chandra Saputra, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Nanoubu Okazaki
Proc. 2020 Int’l Conf. on Artificial Life and Robotics (ICAROB 2020) 2020.1
Language：English Publishing type：Research paper (international conference proceedings)
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スマートウォッチにおけるジェスチャを用いた個人認証方式の提案と評価
長友 誠，小関 朋奈，渡辺 一樹，油田 健太郎，岡崎 直宣，朴 美娘
2020 Symposium on Cryptography and Information Security(SCIS2020) 2020.1
Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Evaluation of Color-Based CAPTCHA Using Color Constancy Reviewed
Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Masayuki Mukunoki, Mirang Park, Naonobu Okazaki
Proc. 25th Int'l Sympo. on Artificial Life and Robotics 2020 (AROB 25th 2020) 2020.1
Language：English Publishing type：Research paper (international conference proceedings)
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Vote-Based Unknown Malware Detection System Using Consortium Blockchain Reviewed
Ryusei Fuji, Shotaro Usuzaki, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Mirang Park, Norio Shiratori, Naonobu Okazaki
Proc. 25th Int'l Sympo. on Artificial Life and Robotics 2020 (AROB 25th 2020) 2020.1
Language：English Publishing type：Research paper (international conference proceedings)
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Development and Evaluation of Farmers Extension Information System Reviewed
Isakwisa Gaddy Tende, Kentaro Aburada, Hisaaki Yamaba, Tetsuro Katayama, Naonobu Okazaki
Proc. 25th Int'l Sympo. on Artificial Life and Robotics 2020 (AROB 25th 2020) 2020.1
Language：English Publishing type：Research paper (international conference proceedings)
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An evaluation of the interactive video CAPTCHA method against automated attack Reviewed
Aburada Kentaro, Usuzaki Shotaro, Yamaba Hisaaki, Katayama Tetsuro, Mukunoki Masayuki, Park Mirang, Okazaki Naonobu
IEICE Communications Express 8 ( 12 ) 453 - 457 2019.12
Language：English Publishing type：Research paper (scientific journal) Publisher：一般社団法人 電子情報通信学会
CAPTCHA is designed to detect automated programs (called bots) by requiring them to perform tasks that are easy for humans but difficult for automations. CAPTCHAs are vulnerable to relay attacks in which the challenges are relayed to remote human-solvers. In our previous paper, we proposed an interactive video type CAPTCHA that is strongly resistant to relay attacks. However, a quantitative evaluation of resistance to automated attacks still has not been carried out. Herein, we implement an automated attack for applying to our CAPTCHA and evaluate its resistance to automated attacks. Our results show the robustness of our proposed method against mean shift algorithm.
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Nagatomo Makoto, Watanabe Kazuki, Aburada Kentaro, Okazaki Naonobu, Park Mirang
IEICE Communications Express 8 ( 12 ) 495 - 500 2019.12
Language：English Publishing type：Research paper (scientific journal) Publisher：一般社団法人 電子情報通信学会
Recently, mobile terminals having small touchscreen such as smartwatches are increasing. PIN or pattern lock are used for personal authentication for smartwatches, but it is possible to leak authentication information by peeking the screen because the information is displayed directly. Therefore, in this paper, we propose Personal Identification with Any Shift (PIAS), which user taps different icon from registered icon on 3 × 3 icons. In addition, we implemented PIAS and evaluated it by confirming the usability and shoulder-surfing resistance. As a result, authentication time and success rate was 13.8 s and 89.4%, and the rate of successful shoulder-surfing attack was 0.0%.