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机构地区:[1]北京林业大学信息科学与技术学院,北京100083
出 处:《计算机工程与设计》2010年第12期2781-2783,2787,共4页Computer Engineering and Design
摘 要:为了提高目前多数在线系统的验证码的安全性,提出了一种以拼图形式构建全自动区分计算机和人类的图灵测试(completely automated public Turing test to tell computers and humans apart,CAPTCHA)的方案,该方案能有效抵御光学字符识别技术和外部轮廓识别技术的攻击又不失易用性。基于该方案,研究其实现的途径及方法,接着分别用4种方式对其进行开发实现,最后应用浏览器兼容性等标准对各种实现方式的性能进行综合测试及评价,测试结果表明,以大图拼接结合Cookie方式实现拼图形式CAPTCHA是最佳方法。To improve the security of the most CAPTCHA in current online system,a new scheme for CAPTCHA(completely automated public Turing test to tell computers and humans apart) with the jigsaw puzzle is presented,which can prevent from breaking by the tech-nology of optical character recognition and exterior contour recognition while keeping ease of use.Based on this idea,four approaches are implemented respectively after several researches.Then some benchmarks including browser compatibility are performed to estimate the performance of each approach respectively.According to the result of evaluation,the best approach with clustered image combined cookie is recommended.
分 类 号:TP302[自动化与计算机技术—计算机系统结构]
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