Name
Abstract | ||
|---|---|---|
Human Interactive Proofs systems using CAPTCHA help protect services on the World Wide Web (WWW) from widespread abuse by verifying that a human, not an automated program, is making a request. To authenticate a user as human, a test must be passable by virtually all humans, but not by computer programs. For a CAPTCHA to be useful online, it must be easy to interpret by humans. In this paper, we present a new method to combine handwritten CAPTCHAs with a random tree structure and random test questions to create a novel and more robust implementation that leverages unique features of human cognition, including the superior ability over machines in recognizing graphics and reading unconstrained handwriting text that has been transformed in precise ways. This combined CAPTCHA protects against advances in recognition systems to ensure it remains viable in the future without causing additional difficulties for humans. We present motivation for our approach, algorithm development, and experimental results that support our CAPTCHA in protecting web services while providing important insights into human cognitive factors at play during human-computer interaction. |
Year | Venue | Keywords |
|---|---|---|
2010 | WebApps | present motivation,human cognition,algorithm development,combined CAPTCHA,Human Interactive Proofs system,additional difficulty,random tree structure,random test question,human cognitive factor,World Wide Web |
Field | DocType | Citations |
Graphics,Random tree,World Wide Web,Authentication,Handwriting,Computer science,Mathematical proof,CAPTCHA,Cognition,Web service | Conference | 4 |
PageRank | References | Authors |
0.41 | 24 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amalia Rusu | 1 | 81 | 6.22 |
| Rebecca Docimo | 2 | 4 | 0.41 |
| Adrian Rusu | 3 | 82 | 10.65 |