How to Mimic Humans, Guide for Computers
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F16%3A00462913" target="_blank" >RIV/67985807:_____/16:00462913 - isvavai.cz</a>
Výsledek na webu
<a href="http://ceur-ws.org/Vol-1649/110.pdf" target="_blank" >http://ceur-ws.org/Vol-1649/110.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
How to Mimic Humans, Guide for Computers
Popis výsledku v původním jazyce
This paper studies reverse Turing tests to tell humans and computers apart. Contrary to classical Turing tests, the judge is not a human but a computer. These tests are often called Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHA). The main purpose of such test is avoiding automated usage of various services, preventing bots from spamming on forums, securing user logins against dictionary or brute force password guessing and many others. During years, a diversity of tests appeared. In this paper, we focused on the two most classical and widespread schemes, which are text-based and audiobased CAPTCHA, and on their use in the Czech internet environment. The goal of this paper is to point out flaws and weak spots of often used solutions and consequent security risks. To this end, we pipelined several relatively easy algorithms like flood fill algorithm and k-nearest neighbours, to overcome CAPTCHA challenges at several web pages, including state administration.
Název v anglickém jazyce
How to Mimic Humans, Guide for Computers
Popis výsledku anglicky
This paper studies reverse Turing tests to tell humans and computers apart. Contrary to classical Turing tests, the judge is not a human but a computer. These tests are often called Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHA). The main purpose of such test is avoiding automated usage of various services, preventing bots from spamming on forums, securing user logins against dictionary or brute force password guessing and many others. During years, a diversity of tests appeared. In this paper, we focused on the two most classical and widespread schemes, which are text-based and audiobased CAPTCHA, and on their use in the Czech internet environment. The goal of this paper is to point out flaws and weak spots of often used solutions and consequent security risks. To this end, we pipelined several relatively easy algorithms like flood fill algorithm and k-nearest neighbours, to overcome CAPTCHA challenges at several web pages, including state administration.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings ITAT 2016: Information Technologies - Applications and Theory
ISBN
978-1-5370-1674-0
ISSN
1613-0073
e-ISSN
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Počet stran výsledku
8
Strana od-do
110-117
Název nakladatele
Technical University & CreateSpace Independent Publishing Platform
Místo vydání
Aachen & Charleston
Místo konání akce
Tatranské Matliare
Datum konání akce
15. 9. 2016
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
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