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Two-Way Image Based CAPTCHA

  • M. Poornananda BhatEmail author
  • Rashmi Naveen Raj
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 614)

Abstract

CAPTCHA is a technology used to protect web applications from one of the malicious threats called BOT. CAPTCHA’s primary goal is to avail web services only to legitimate users and thereby foreseeing effective usage of web services. In this paper, a variant of image-based CAPTCHA is designed for visually challenged people. The main challenge is to identify human users from software robots. A novel two-way approach for image selection is designed to enhance the existing image-based CAPTCHAs. Randomly generated homography transformation function is used to find a match between the two images. Image-based CAPTCHAs have overwhelmed the text-based CAPTCHAs, and the proposed approach promises a better test for legitimate users to accomplish higher web security while retaining ease of use.

Keywords

Web services CAPTCHA Image-based display Internet security Image matching 

Notes

Acknowledgements

The authors would like to thank Manipal Institute of Technology, Manipal, for all the resources granted as per the requirements.

Compliance with Ethical Standards

The study involved only development, validation and feedback on the technical aspect of the software. Hence, clearance from only the Information and Communication department committee was obtained. Informed consent was obtained from all volunteers included in the study.

References

  1. 1.
    Vaithyasubramanian S (2016) Review on development of some strong visual CAPTCHAs and breaking of weak audio CAPTCHAs. In: 2016 International conference on information communication and embedded systems (ICICES), IEEE 2016, pp 1–4Google Scholar
  2. 2.
    Kolupaev A, Ogijenko J (2008) Captchas: humans versus bots. IEEE Secur Priv 6(1):68–70CrossRefGoogle Scholar
  3. 3.
    Hajjdiab H (2017) Random image matching CAPTCHA system. ELCVIA Electron Lett Comput Vision Image Anal 16(3):0001–13CrossRefGoogle Scholar
  4. 4.
    Pope C, Kaur K (2005) Is it human or computer? Defending E-commerce with CAPTCHAs. IT Prof 7(2):43–49CrossRefGoogle Scholar
  5. 5.
    Saha SK, Nag AK, Dasgupta D (2015) Human-cognition-based CAPTCHAs. IT Prof 17(5):42–48CrossRefGoogle Scholar
  6. 6.
    Datta R, Li J, Wang JZ (2009) Exploiting the human–machine gap in image recognition for designing CAPTCHAs. IEEE Trans Inf Forensics Secur 4(3):504–518CrossRefGoogle Scholar
  7. 7.
    Gossweiler R, Kamvar M, Baluja S (2009) What’s up CAPTCHA?: a CAPTCHA based on image orientation. In: Proceedings of the 18th international conference on World wide web, ACM 2009, pp 841–850Google Scholar
  8. 8.
    Ali FABH, Bt Karim F (2014) Development of CAPTCHA system based on puzzle. In: 2014 International conference on computer, communications, and control technology (I4CT), IEEE 2014, pp 426–428Google Scholar
  9. 9.
    Banday MT, Sheikh SA (2014) Service framework for dynamic multilingual CAPTCHA challenges: IN-CAPTCHA. In: 2014 International conference on advances in electronics computers and communications, IEEE 2014, pp 1–6Google Scholar
  10. 10.
    Tang M, Gao H, Zhang Y, Liu Y, Zhang P, Wang P (2018) Research on deep learning techniques in breaking text-based captchas and designing image-based captcha. IEEE Trans Inf Forensics Secur 13(10):2522–2537CrossRefGoogle Scholar
  11. 11.
    Osadchy M, Hernandez-Castro J, Gibson S, Dunkelman O, Pérez-Cabo D (2017) No bot expects the DeepCAPTCHA! Introducing immutable adversarial examples, with applications to CAPTCHA generation. IEEE Trans Inf Forensics Secur 12(11):2640–2653CrossRefGoogle Scholar
  12. 12.
    Powell BM, Kumar A, Thapar J, Goswami G, Vatsa M, Singh R, Noore RA (2016) A multibiometrics-based CAPTCHA for improved Online security. In: 2016 IEEE 8th International conference on biometrics theory, applications and systems (BTAS), BTAS 2016Google Scholar
  13. 13.
    Kulkarni S, Fadewar HS (2017) Pedometric CAPTCHA for mobile Internet users. In: 2017 2nd IEEE International conference on recent trends in electronics, information & communication technology (RT (RTEICT), RTEICT 2017Google Scholar
  14. 14.
    Section 508 CAPTCHA: how to make CAPTCHA comply with access board section 508 standards [online]. Available https://captcha.com/accessibility/section508-captcha.html. Accessed: 22 Apr 2019

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Information and Communication TechnologyManipal Institute of Technology, Manipal Academy of Higher EducationManipalIndia

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