Papers - YAMABA Hisaaki
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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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Nagatomo M., Aburada K., Yamaba H., Okazaki N., Park M.
Advances in Intelligent Systems and Computing 927 683 - 692 2019.3
Language：English Publishing type：Research paper (international conference proceedings) Publisher：Advances in Intelligent Systems and Computing
© 2019, Springer Nature Switzerland AG. Currently, IoT devices often use wireless technologies to communicate with each other. An example is ad-hoc device pairing such as wireless distribution of meeting materials from a PC to mobile device. The problem in this case is spoofing by an impersonator. In order to solve this problem, we proposed secure device pairing method using similarity between displacement data of a marker displayed on devices and acceleration data obtained from devices. We performed experiments to confirm similarity and whether impersonator can pair with the server. As a result, we found that similarity was low and unstable. Therefore, in this paper, we propose an extended method that marker changes at an interval. These sequence of markers displayed on the device is used to recognize the device by a camera in addition to calculation of the similarity. We performed 3 experiments to confirm the similarity displacement data and examined whether an eavesdropper outside the camera range can perform pairing. Also, we performed pairing of some device together. As a result, average similarity was higher than that of previous method and pairing of three devices succeeded at rate of about 70%.
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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.
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Interactive Video CAPTCHA for Better Resistance to Automated Attack Reviewed
Usuzaki S., Aburada K., Yamaba H., Katayama T., Mukunoki M., Park M., Okazaki N.
2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018 1 - 2 2019.2
Language：English Publishing type：Research paper (international conference proceedings) Publisher：2018 11th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2018
© 2018 IPSJ. A 'Completely Automated Public Turing Test to Tell Computers and Humans Apart' (CAPTCHA) widely used online services so that prevents bots from automatic getting a large of accounts. Interactive video type CAPTCHAs that attempt to detect this attack by using delay time due to communication relays have been proposed. However, these approaches remain insufficiently resistant to bots. We propose a CAPTCHA that combines resistant to automated and relay attacks. In our CAPTCHA, the users recognize a moving object (target object) from among a number of randomly appearing decoy objects and tracks the target with mouse cursor. The users pass the test when they were able to track the target for a certain time. Since the target object moves quickly, the delay makes it difficult for a remote solver to break the CAPTCHA during a relay attack. It is also difficult for a bot to track the target using image processing because it has same looks of the decoys. We evaluated our CAPTCHA's resistance to relay and automated attacks. Our results show that, if our CAPTHCA's parameters are set suitable value, a relay attack cannot be established economically and false acceptance rate with bot could be reduced to 0.01% without affecting human success rate.
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Implementation of an Arduino Simulator to Support Circuit Design
Tatsumi Nishida, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Proc. 2019 Int’l Conf. on Artificial Life and Robotics (ICAROB 2019) 173 - 176 2019.1
Language：English Publishing type：Research paper (international conference proceedings)
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Tamias: a Syntax File Checker for Parsing Expression Grammar
Toshihiro Miyaji, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Proc. 2019 Int’l Conf. on Artificial Life and Robotics (ICAROB 2019) 169 - 172 2019.1
Language：English Publishing type：Research paper (international conference proceedings)
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Development of Library Fescue Extracting Elements of Attributes and Operations of Class Diagram in UML
Keisuke Mori, Tetsuro Katayama, Yoshihiro Kita, Hisaaki Yamaba, Kentaro Aburada, Naonobu Okazaki
Proc. 2019 Int’l Conf. on Artificial Life and Robotics (ICAROB 2019) 165 - 168 2019.1
Language：English Publishing type：Research paper (international conference proceedings)