随机图像匹配CAPTCHA系统

Q4 Computer Science
H. Hajjdiab
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引用次数: 4

摘要

安全风险是网络、web开发、人机交互和软件工程等领域研究人员关注的一个重要问题。在线系统的一个主要挑战是识别用户是人类还是软件机器人(bots)。虽然为人类用户提供服务是自然的,但为软件机器人提供服务存在许多安全风险和挑战。软件机器人经常被垃圾邮件发送者用来创建虚假的在线账户,影响搜索引擎排名,参加在线投票,发送垃圾邮件或只是浪费服务器资源。在本文中,我们介绍了一种基于计算机生成随机图像的视觉验证技术,然后要求用户在两幅图像之间匹配一个特征点(即解决计算机视觉领域研究人员定义的对应问题)。两个图像之间的关系基于随机生成的单应变换函数。与其他视觉验证码技术相比,我们的方法的主要优点是我们在保持易用性的同时消除了对图像数据库的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Random Image Matching CAPTCHA System
Security risks is an important issues and caught the attention of researchers in the area of networks, web development, human computer interaction and software engineering. One main challenge for online systems is to identify whether the users are humans or software robots (bots). While it is natural to provide service to human users, providing service for software robots (bots) comes with many security risks and challenges. Software robots are often used by spammers to create fake online accounts, affect search engine ranking, take part in on-line polls, send out spam or simply waste the resources of the server. In this paper we introduce a visual CAPTCHA technique that is based on generating random images by the computer, the user is then asked to match a feature point between two images (i.e. solve the correspondence problem as defined by the researchers in the computer vision area). The relationship between the two images is based on a randomly generated homography transformation function. The main advantage of our approach compared to other visual CAPTCHA techniques is that we eliminate the need for a database of images while retaining ease of use.
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来源期刊
Electronic Letters on Computer Vision and Image Analysis
Electronic Letters on Computer Vision and Image Analysis Computer Science-Computer Vision and Pattern Recognition
CiteScore
2.50
自引率
0.00%
发文量
19
审稿时长
12 weeks
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