WEKO3
アイテム
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
http://hdl.handle.net/10458/00010100
http://hdl.handle.net/10458/00010100913f0114-d8d6-4218-9d40-24e7c8bf943d
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文 (1.2 MB)
|
|
| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2020-11-12 | |||||
| タイトル | ||||||
| タイトル | 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 | |||||
| 言語 | ja | |||||
| タイトル | ||||||
| タイトル | Evaluation of CAPTCHA for Mobile Devices against Bots Using Hough Transform | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | CAPTCHA | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Dynamic CAPTCHA | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Bot | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Hough Transform | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Mobile devices | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| 著者 |
竹口, 真理亜
× 竹口, 真理亜× 梁井, 孝治× 山場, 久昭× 油田, 健太郎× 岡崎, 直宣× 竹口, 真理亜× 梁井, 孝治 |
|||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | 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. | |||||
| 言語 | en | |||||
| 書誌情報 |
ja : 宮崎大学工学部紀要 en : Memoirs of Faculty of Engineering, University of Miyazaki 巻 49, p. 159-163, 発行日 2020-09 |
|||||
| 出版者 | ||||||
| 出版者 | 宮崎大学工学部 | |||||
| 言語 | ja | |||||
| 出版者 | ||||||
| 出版者 | Faculty of Engineering, University of Miyazaki | |||||
| 言語 | en | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 05404924 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA00732558 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
