How to Mimic Humans, Guide for Computers
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
How to Mimic Humans, Guide for Computers
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings ITAT 2016: Information Technologies - Applications and Theory
ISBN
978-1-5370-1674-0
ISSN
1613-0073
e-ISSN
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Number of pages
8
Pages from-to
110-117
Publisher name
Technical University & CreateSpace Independent Publishing Platform
Place of publication
Aachen & Charleston
Event location
Tatranské Matliare
Event date
Sep 15, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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