The week's pick
Reseach Article
Distinguishing Humans from Automated Programs by a novel Audio-based CAPTCHA
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 132 - Number 13 |
| Year of Publication: 2015 |
| Authors: Seyhmus Yilmaz, Sultan Zavrak, Huseyin Bodur |
10.5120/ijca2015907575
|
Seyhmus Yilmaz, Sultan Zavrak, Huseyin Bodur . Distinguishing Humans from Automated Programs by a novel Audio-based CAPTCHA. International Journal of Computer Applications. 132, 13 ( December 2015), 17-21. DOI=10.5120/ijca2015907575
Abstract
CAPTCHA (Completely Automated Public Turing Test to Tell Computer and Humans Apart) has become a ubiquitous guard utilized to prevent exploitation in web services like account registration. They are universally secure measure to distinguish real users from automated programs by using computer-generated tests that should be easy for users to solve but should be hard for malicious program. However, implementing CAPTCHAs is becoming increasingly hard due to advances in machine learning system. Furthermore, all current audio-based CAPTCHAs have been broken by automated programs and research shows that the existing implementations are very difficult and time consuming. In addition to this, more than 50 percent of people are unable to bypass the current audio-based CAPTCHAs owing to the intrinsic hardness of interpreting the noisy sound message. Consequently, the implementation of a novel voice CAPTCHA is demanded. In this paper, a technique for telling the human beings and computer programs apart based on submitting the right colour name of the object announced by the speaker has been introduced. In this technique, an object is selected from database at random, and then the selected object will be pronounced from the audio message. After that the CAPTCHA request users to submit the colour name of that object. If the colour name is submitted accurately, the system is able to decide that the client is a human and not an automated program. The main advantage of the proposed CAPTCHA is that users don’t have to memorise a group of random digits and words, which stretches the limits of individuals’ short-term mind. Finally, the usability test is conducted with some individuals. In addition, discussion, limitations, and suggestions for further study are illustrated.
References
- Gao, H., Liu, H., Yao, D., Liu, X. and Aickelin, U., “An audio CAPTCHA to distinguish humans from computers,” in 3rd International Symposium on Electronic Commerce and Security, ISECS 2010, 2010, pp. 265–269.
- Bursztein, E., Beauxis, R.,Paskov, H.,Perito, D., Fabry, C. and Mitchell, J., "The failure of noise-based non-continuous audio CAPTCHAs," in Security and Privacy (SP), 2011 IEEE Symposium on, 2011, pp. 19-31.
- Almazyad, A. S., Ahmad, Y. and Kouchay, S. A. , "Multi-modal captcha: A user verification scheme," in Information Science and Applications (ICISA), 2011 International Conference on, 2011, pp. 1-7.
- Rahman, R. U., Tomar, D. S. and Das, S. "Dynamic Image Based CAPTCHA," in Communication Systems and Network Technologies (CSNT), 2012 International Conference on, 2012, pp. 90-94.
- Chan, T.-Y., "Using a test-to-speech synthesizer to generate a reverse Turing test," in Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on, 2003, pp. 226-232.
- Baird, H. S., Coates, A. L. and Fateman, R. J., "PessimalPrint: a reverse Turing test," International Journal on Document Analysis and Recognition, vol. 5, pp. 158-163, 2003.
- Soupionis, Y. and Gritzalis, D., "Audio CAPTCHA: Existing solutions assessment and a new implementation for VoIP telephony," Computers & Security, vol. 29, pp. 603-618, 2010.
- Szczys, M., (2012, 30 August 2015). Stiltwalker beat audio reCAPTCHA. Available: http://hackaday.com/2012/06/15/stiltwalker-beat-audio-recaptcha/.
- Bigham, J. P. and Cavender, A. C., "Evaluating existing audio CAPTCHAs and an interface optimized for non-visual use," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2009, pp. 1829-1838.
- Lee, Y.-L. and Hsu, C.-H., "Usability study of text-based CAPTCHAs," Displays, vol. 32, pp. 81-86, 2011.
- Tam, J., Simsa, J., Hyde, S., & Ahn, L. V. (2008). Breaking audio captchas. In Advances in Neural Information Processing Systems (pp. 1625-1632).
- Tam, J., Simsa, J., Hyde, S., and Ahn, L. V., "Breaking audio captchas," in Advances in Neural Information Processing Systems, 2008, pp. 1625-1632.
- C. Technologies. (2010, 20 August 2015). Image-Based CAPTCHA for PHP 1.5. Available: http://www.phpkode.com/scripts/item/image-based-captcha-for-php/.
- Kluever, K. A. and Zanibbi, R., "Balancing usability and security in a video CAPTCHA," in Proceedings of the 5th Symposium on Usable Privacy and Security, 2009, p. 14.
- Obimbo, C., Halligan, A. and De Freitas, P., "CaptchAll: an improvement on the modern text-based CAPTCHA," Procedia Computer Science, vol. 20, pp. 496-501, 2013.
- Bursztein, E., Martin, M. and Mitchell, J., "Text-based CAPTCHA strengths and weaknesses," in Proceedings of the 18th ACM conference on Computer and communications security, 2011, pp. 125-138.
- http://www.gsacaptchabreaker.com/wp-content/uploads/2013/02/captcha-examples.png. Last accessed 6 December 2015.
- Turing, A. M., "Computing machinery and intelligence," Mind, pp. 433-460, 1950.
- S. McGlaun, 'Google Street View and reCAPTCHA Get Smarter with New Algorithm', dailytech.com, 2015. [Online]. Available: http://www.dailytech.com/Google+Street+View+and+reCAPTCHA+Get+Smarter+with+New+Algorithm/article34740.htm. [Accessed: 07- Dec- 2015].
- Available:http://i.kinjaimg.com/gawkermedia/image/upload/t_original/c8ayzgvhgvaasa8kwhzo.png. [Accessed: 07- Dec- 2015].
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