Name
Abstract | ||
|---|---|---|
Human Interactive Proofs (HIPs) are a basic security measure on the Internet to avoid several types of automatic attacks. Recently, a new HIP has been designed to increase security: the Civil Rights CAPTCHA. It employs the empathy capacity of humans to further strengthen the security of a well known OCR CAPTCHA, Securimage. In this paper, we analyse it from a security perspective, pointing out its design flaws. Then, we create a successful side-channel attack, leveraging some well-known machine learning algorithms. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-10422-5_26 | Studies in Computational Intelligence |
Field | DocType | Volume |
Empathy,World Wide Web,Computer security,Turing test,Mathematical proof,Artificial intelligence,Security Measure,Engineering,CAPTCHA,Machine learning,The Internet | Conference | 570 |
ISSN | Citations | PageRank |
1860-949X | 2 | 0.37 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Javier Hernández-Castro | 1 | 2 | 0.37 |
| David F. Barrero | 2 | 120 | 17.17 |
| María Dolores Rodríguez-Moreno | 3 | 2 | 0.37 |