@article{oai:miyazaki-u.repo.nii.ac.jp:00006229,
 author = {竹口, 真理亜 and Takeguchi, Maria and 梁井, 孝治 and Yanai, Takaharu and Yamaba, Hisaaki and 山場, 久昭 and Aburada, Kentaro and 油田, 健太郎 and Okazaki, Naonobu and 岡崎, 直宣 and 竹口, 真理亜 and Takeguchi, Maria and 梁井, 孝治 and Yanai, Takaharu},
 journal = {宮崎大学工学部紀要, Memoirs of Faculty of Engineering, University of Miyazaki},
 month = {Sep},
 note = {In recent years, CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) have been introduced on many Web sites.It is a discrimination method based on a Turing test that identifies humans and automatic programs called bots, and is used to prevent fraudulent acts on Web services. In particular, it is becoming necessary to design a CAPTCHA that is easy to use on mobile devices. In this laboratory, Mizuta et al. have proposed a CAPTCHA for mobile devices that is resistant to bots using object tracking technology. It makes the object recognition by the program difficult by changing the transparency of the tracked object every time, and the effectiveness is shown. However, it has only been confirmed that the bot resistance is resistant to the meanShift that tracks objects in the video. In this paper, we conducted an experiment to investigate the resistance to attack techniques using Hough transform. The Hough transform is one of the most commonly used methods to detect figures such as straight lines and circles from images, and is considered to be an effective means of attacking CAPTCHA by Mizuta et al. After implementing an attack program, experiments and investigations confirmed that it was not resistant. Based on the survey results, we proposed two improvement plans to improve bot resistance.},
 pages = {159--163},
 title = {モバイル端末向けCAPTCHAのハフ変換を用いたボットへの耐性評価},
 volume = {49},
 year = {2020},
 yomi = {タケグチ, マリア and ヤナイ, タカハル and ヤマバ, ヒサアキ and アブラダ, ケンタロウ and オカザキ, ナオノブ and タケグチ, マリア and ヤナイ, タカハル}
}