Simple Visual CAPTCHA Approach

dc.contributor.authorArif, Hera
dc.contributor.authorHajjdiab, Hassan
dc.contributor.authorKhalil, Ashraf
dc.date.accessioned2018-03-14T06:51:49Z
dc.date.accessioned2023-08-19T08:18:17Z
dc.date.available2018-03-14T06:51:49Z
dc.date.available2023-08-19T08:18:17Z
dc.date.issued2016-09-15
dc.descriptionArif, H., Hajjdiab, H., & Khalil, A. (2016, September). Simple visual CAPTCHA approach. In Knowledge Engineering and Applications (ICKEA), IEEE International Conference on (pp. 108-112). IEEE.en_US
dc.description.abstractThe internet has become a place where various on-line activities of different natures are carried out. Most activities require strict security measures to ensure the integrity of on-line systems such as e-commerce and business related websites. Furthermore, the proper functioning of a website is an integral part of its success. Thus, the risk of spammers and abusers is a critical one and needs to be dealt with vigilantly. Spammers often use software robots to compromise the security and the functionality of a website. Without enough security measures, spammmers can design software robots (bots) to create a huge number of fake online accounts, manipulate search engine ranking, share in on-line surveys, send out spam emails and messages or simply waste the resources of the server. One main solution for this issue is the use of a CAPTCHA system that can be used to identify if a user is a human or a software robot. 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 click on the images that match a given pattern. The main advantage of our approach compared to other visual CAPTCHA techniques is that our system is simple and easy for by human users while extremely difficult for by software robots (bots).en_US
dc.identifier.citationArif, H., Hajjdiab, H., & Khalil, A. (2016, September). Simple visual CAPTCHA approach. In 2016 IEEE International Conference on Knowledge Engineering and Applications (ICKEA) (pp. 108-112). IEEE.‏en
dc.identifier.doihttps://doi.org/10.1109/ICKEA.2016.7803002
dc.identifier.urihttps://edms.wexl.in/handle/1/652
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectInternet Securityen_US
dc.subjectCAPTCHAen_US
dc.subjectSoftware Developmenten_US
dc.subjectOpticalsen_US
dc.subjectImage Analysisen_US
dc.subjectImage color analysisen_US
dc.subjectPressesen_US
dc.titleSimple Visual CAPTCHA Approachen_US
dc.typeArticleen_US

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