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dc.contributor.authorBrodić, Darkoen
dc.contributor.authorAmelio, Alessiaen
dc.contributor.authorDraganov-Rumenov, Ivoen
dc.contributor.authorJanković, Radmilaen
dc.date.accessioned2020-04-27T10:55:20Z-
dc.date.available2020-04-27T10:55:20Z-
dc.date.issued2018-01-01en
dc.identifier.isbn978-3-319-99343-0en
dc.identifier.issn0302-9743en
dc.identifier.urihttp://researchrepository.mi.sanu.ac.rs/handle/123456789/930-
dc.description.abstractThis paper introduces a new study of the Dice CAPTCHA usability based on advanced statistical analysis. An experiment is performed on a population of 197 Internet users, characterised by age and Internet experiences, to which the solution to the Dice CAPTCHA is required on a laptop or tablet computer. The response time, which is the solution time to successfully solve the CAPTCHA, together with the number of tries are registered for each user. Then, the collected data are subjected to association rule mining for analysing the dependence of the response time to solve the CAPTCHA in a given number of tries on the co-occurrence of the user’s features. This analysis is very useful to understand the co-occurrence of factors influencing the solution to the CAPTCHA, and accordingly, to realise which CAPTCHA is closer to the “ideal” CAPTCHA.en
dc.publisherSpringer Link-
dc.relationDevelopment and application of distributed system for monitoring and control of electrical energy consumption for large consumers-
dc.relationDevelopment of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en
dc.subjectAssociation rules | Dice CAPTCHA | FP-Growth | Statistics analysis | Usabilityen
dc.titleExploring the usability of the dice CAPTCHA by advanced statistical analysisen
dc.typeConference Paperen
dc.relation.conference18th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2018; Varna; Bulgaria; 12 September 2018 through 14 September 2018-
dc.identifier.doi10.1007/978-3-319-99344-7_14en
dc.identifier.scopus2-s2.0-85053121109en
dc.relation.firstpage152en
dc.relation.lastpage162en
dc.relation.volume11089 LNAIen
dc.description.rankM33-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.orcid0000-0003-3424-134X-
crisitem.project.funderNIH-
crisitem.project.projectURLhttp://www.mi.sanu.ac.rs/novi_sajt/research/projects/044006e.php-
crisitem.project.fundingProgramNATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES-
crisitem.project.fundingProgramNATIONAL HEART, LUNG, AND BLOOD INSTITUTE-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NIH/NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES/1R03AI133037-01A1-
crisitem.project.openAireinfo:eu-repo/grantAgreement/NIH/NATIONAL HEART, LUNG, AND BLOOD INSTITUTE/5R01HL044006-04-
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