由於自動化程式的濫用越來越廣泛，因此擁有區分人與機器的能力也就日益重要。然而現在廣泛被運用的原文圖像(textual-image-based)CAPTCHA已經遭到破解。在此篇論文中，我們提出一個以交換圖片中不重疊區塊、簡單且有效的人機區分機制，利用簡單的幾個步驟就能產生出人類可以輕鬆通過但機器卻難以用自動化程式分析的測驗圖片，也同時針對此機制的強健度做了多方面的測試，實驗中也對於此機制所使用的參數選擇和圖像資料庫進行詳細的分析；最後我們設計了眼動儀實驗去比較不同的測驗類型所對應的視線軌跡。 / The need to tell human and machines apart has surged due to abuse of automated ‘bots’. However, several textual-image-based CAPTCHAs have been defeated recently. In this thesis, we propose a simple yet effective visual CAPTCHA test by exchanging the content of non-overlapping regions in an image. Using simple steps, the algorithm is able to produce a discrimination mechanism which is difficult for machine to analyze but easy for human to pass. We have tested the robustness of the proposed method by exploring different ways to attack this CAPTCHA and the corresponding counter-attack measures. Additionaly, we have carried out in-depth analysis regarding the choice of the parameters and the image database. Finally, eye-tracking experiments have been conducted to examine and compare the gaze paths for different visual tasks.
| Identifer | oai:union.ndltd.org:CHENGCHI/G0947530342 |
| Creators | 廖奕齊, Liao,I Chi |
| Publisher | 國立政治大學 |
| Source Sets | National Chengchi University Libraries |
| Language | 中文 |
| Detected Language | English |
| Type | text |
| Rights | Copyright © nccu library on behalf of the copyright holders |
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