Papers - YAMABA Hisaaki
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Implementation of CAPTCHA suitable for mobile devices Reviewed
K. Aburada, S. Usuzaki, H. Yamaba, T. Katayama, M. Mukunoki, M. Park, and N. Okazaki
IEICE Communications Express 8 ( 12 ) 601 - 605 2019.12
Language：English Publishing type：Research paper (scientific journal)
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An evaluation of the interactive video CAPTCHA method against automated attack Reviewed
K. Aburada, S. Usuzaki, H. Yamaba, T. Katayama, M. Mukunoki, M. Park, and N. Okazaki
IEICE Communications Express 8 ( 12 ) 453 - 457 2019.12
Language：English Publishing type：Research paper (scientific journal)
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Application of Pairwise Testing into BWDM which is a Test Case Generation Tool for the VDM++ Specification Reviewed
T. Katayama, F. Hirakoba, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Journal of Robotics, Networks and Artificial Life 6 ( 3 ) 143 - 147 2019.12
Language：English Publishing type：Research paper (scientific journal)
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Implementation of Tamias to Check Production Rules for Parsing Expression Grammar Reviewed
T. Katayama, T. Miyaji, Y. Kita, H. Yamaba, K. Aburada, and N. Okazaki
Journal of Robotics, Networks and Artificial Life 6 ( 2 ) 123 - 127 2019.9
Language：English Publishing type：Research paper (scientific journal)
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Evaluation of manual alphabets based gestures for a user authentication method using s-emg Reviewed
Yamaba H., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
Advances in Intelligent Systems and Computing 1036 570 - 580 2019.8
Language：English Publishing type：Research paper (international conference proceedings) Publisher：Advances in Intelligent Systems and Computing
© Springer Nature Switzerland AG 2020. At the present time, since mobile devices such as tablet-type PCs and smart phones have widely penetrated 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 measured s-EMG signals of manual kana of The Japanese Sign Language syllabary and evaluated their potential as the important element of the user authentication method.
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Blockchain-based malware detection method using shared signatures of suspected malware files Reviewed
Fuji R., Usuzaki S., Aburada K., Yamaba H., Katayama T., Park M., Shiratori N., Okazaki N.
Advances in Intelligent Systems and Computing 1036 305 - 316 2019.8
Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：Advances in Intelligent Systems and Computing
© Springer Nature Switzerland AG 2020. Although rapid malware detection is very important, the detection is difficult due to the increase of new malware. In recent years, blockchain technology has attracted the attention of many people due to its four main characteristics of decentralization, persistency, anonymity, and auditability. In this paper, we propose a blockchain-based malware detection method that uses shared signatures of suspected malware files. The proposed method can share the signatures of suspected files between users, allowing them to rapidly respond to increasing malware threats. Further, it can improve the malware detection by utilizing signatures on the blockchain. In the evaluation experiment, we perform a more real simulation compared with our previous work to evaluate the detection accuracy. Compared with heuristic methods or behavior-based methods only, the proposed system which uses these methods plus signature-based method using shared signatures on the blockchain improved the false negative rate and the false positive rate.
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Examination of Dynamic CAPTCHA for Mobile Devices and Verification of Bot Tolerance Using Tracking Technology
Ryusei FUJI, Riku MIZUTA, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 257 - 261 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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A Proposal of a Reading Text CAPTCHA Using Human Visual Complementation Ability
Ryusei FUJI, Masahiko HOSHINO, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 251 - 255 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Study on Comprehensive Evaluation of Margin to Be Dispersed Through Schedule Network
Ryusei FUJI, Naoki TAKAHASHI, Kayoko TAKATUKA, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 245 - 249 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Proposal of Audio Based CAPTCHA with Simple Operation Using Mouse
Ryusei FUJI, Tatsuya SAKAMOTO, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 239 - 243 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Ladder Lottery Type Gaze Authentication Considering Device Characteristics
Ryusei FUJI, Seira KURONO, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 235 - 238 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Development of Eye Position Abnormality Detection System Based on Pupil Position Tracking
Ryusei FUJI, Masaya KAWAKAMI, Kayoko TAKATSUKA, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 229 - 233 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Proposal of ColorCAPTCHA Using Color Constancy
Ryusei FUJI, Shohei KAWAKAMI, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 223 - 227 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Investigation of Finger Character Based Gesture of Personal Authentication by sEMG
Ryusei FUJI, Shinpei INOTANI, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 217 - 221 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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An investigation on Detection of Low Rate DDoS Attack Using Sketch Data Structures
Ryusei FUJI, Kosei II, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 213 - 216 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Proposal of Delay Risk Tolerance Evaluation Method of Project Schedule
Meguru TOMITA, Kayoko TAKATUKA, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 195 - 212 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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A Study of Amidakuji-type Gaze Authentication with Randomness
Shogo MIYAZAKI, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 189 - 193 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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On a Bot Detection Method Focused on HTTP Request Transmission Behavior of Clients
Ryusei FUJI, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 183 - 187 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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A Proposal of Real-Time Entropy-based DDoS Attack Detection Method
Shotaro USUZAKI, Hisaaki YAMABA, Kentaro ABURADA, Naonobu OKAZAKI
MEMOIRS OF THE FACULTY OF ENGINEERING UNIVERSITY OF MIYAZAKI ( 48 ) 167 - 181 2019.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Introduction of Fingerspelling for Realizing a User Authentication Method Using s-EMG
Yamaba H., Inotani S., Usuzaki S., Takatsuka K., Aburada K., Katayama T., Park M., Okazaki N.
Advances in Intelligent Systems and Computing 927 693 - 701 2019.3
Language：English Publishing type：Research paper (international conference proceedings) Publisher：Advances in Intelligent Systems and Computing
© 2019, Springer Nature Switzerland AG. At the present time, 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 order to realize this method, we have to prepare many gestures that are used to compose passwords. In this paper, we adopted fingerspelling as candidates of such gestures. We measured s-EMG signals of manual kana of The Japanese Sign Language syllabary and examined their ability for the use of passwords of the authentication method.