earticle

논문검색

Evaluation of CAPTCHA Efficiency

원문정보

Passzarkorn Youthasoontorn, Akarin Phaibulpanich, Krerk Piromsopa

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

We propose statistical methods for evaluating the efficiency of CAPTCHA. Most people unfairly assumed that machines are not capable at reading precisely. This fact leads to the invention of CAPTCHA, a distorted word or short phase, which is designed to thwart computers and separate human from machines. However, advances in image recognition technologies mean that machines are constantly getting better at recognizing CAPTCHA. This forces CAPTCHA designers to design even more difficult CAPTCHAs to prevent their systems from being gamed by malicious bots. However, this arm race has an unintended side effect on the common users. Many CAPTCHAs are now so hard that many people are unable to read them. This obviously conflicts with the original purpose that CAPTCHA was invented in the first place. Our analysis shows that some CAPTCHAs are more users friendly. In particular, Yahoo-style CAPTCHA is the most friendliness. This suggests that a good CAPTCHA could be a simple text with some distortion that prevents machines from correctly segmenting characters.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Experimental Design
  3.1 Sample Size
  3.2 OCR Engine
  3.3 CAPTCHA
  3.4 Website Challenge Preparation
  3.5 CAPTCHA Efficiency Evaluation
 4. Results
 5. Conclusion
 References

저자정보

  • Passzarkorn Youthasoontorn Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand
  • Akarin Phaibulpanich Department of Statistics, Chulalongkorn University, Bangkok, Thailand
  • Krerk Piromsopa Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,200원

      0개의 논문이 장바구니에 담겼습니다.