The robustness of a new CAPTCHA
- Lookup NU author(s)
- Ahmad Salah El Ahmad
- Dr Jeff Yan
- Dr Lindsay Marshall
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| Author(s) | | Salah El Ahmad A, Yan J, Marshall L |
| Editor(s) | | |
| Publication type | | Conference Proceedings (inc. Abstract) |
| Conference Name | | Proceedings of the third European Workshop on System Security (EUROSEC) |
| Conference Location | | Paris, France |
| Year of Conference | | 2010 |
| Date | | 13 April 2010 |
| Volume | | |
| Pages | | 36-41 |
| ISBN | | 9781450300599 |
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| Full text for this publication is not currently held within this repository. Alternative links are provided below where available. |
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| CAPTCHA is a standard security technology that presents tests to tell computers and humans apart. In this paper, we examine the security of a new CAPTCHA that was deployed until very recently by Megaupload, a leading online storage and delivery website. The security of this scheme relies on a novel segmentation resistance mechanism. However, we show that this CAPTCHA can be segmented using a simple but new automated attack with a success rate of 78%. It takes about 120 ms on average to segment each challenge on a standard desktop computer. |
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| Publisher | | ACM Press |
| URL | | http://delivery.acm.org/10.1145/1760000/1752052/p36-el_ahmad.pdf |
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| Library holdings | | Search Newcastle University Library for this item |
