Spin Wheel Based Graphical Password Authentication Resistant to Peeping Attack

  • Authors

    • M Kameswara Rao
    • Dr S.G. Santhi
    • Dr Md.Ali Hussain
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.11607
  • .
  • Gadgets outfitted with touch screens rule the present versatile market in view of high adaptability and great convenience. Numerous security applications keep running on such gadgets. For user verification recalling or recognizing a secret word is testing errand in touch screen based gadgets. A graphical based secret key is a standout amongst the most encouraging and upcoming option for touch based devices. As per research, human brain can recall pictures more effectively than content. In this paper we introduce a novel spin wheel based authentication system targeting the touch screen based versatile and handheld gadgets. The user needs to rotate a set of spin wheels to get authenticated .Usability Study was directed to investigate the ease of use and security of the proposed authentication mechanism.

  • References

    1. [1] R. Biddle, S. Chiasson, and P. Van Oorschot. Graphical Passwords: Learning From the First Twelve Years. ACM Computing Surveys, 44(4):19:1{19:41 Sept. 2012.

      [2] A. Jermyn, et al., “The design and analysis of graphical passwordsâ€, Proceedings of the 8th USENIX Security Symposium, August, Washington, D. C., USA, 1999.

      [3] L. Sobrado and J. -C. Birget, "Graphical passwords, " The Rutgers Scholar, An Electronic Bulletin for Undergraduate Research, vol. 4, 2002.

      [4] X. Suo, et al., “Graphical passwords: A survey. â€, Proceedings of 21st Annual Computer Security Applications Conference., pp. 463–472, 2005.

      [5] Jermyn Ian, A. Mayer, F. Monrose, M. K. Reiter and A. D. Rubin, “The design and analysis of graphical passwordsâ€, Proceedings of the Eighth USENIX Security Symposium. August 23-26 1999. USENIX Association 1– 14, 1999.

      [6] C. Varenhorst, “Passdoodles: A lightweight authentication method’, MIT Research Science Institute, July 2004

      [7] A.. H. Lashkari, Samneh Farmand: A wide survey on Recall-Based Graphical User Authentication algorithm based on ISO and attack Patterns, IJCSIS Vol. 6, no. 3, 2009.

      [8] Tao, H. and Adams, C. 2008. Pass-Go: A proposal to improve the usability of graphical passwords. International Journal of Network Security 7, 2, 273–292. [9] Tafasa. 2010. Patternlock. http://www. tafasa. com/patternlock. html.

      [9] Weiss, R. and De Luca, A. 2008. PassShapes – utilizing stroke based authentication to increase password memorability. In NordiCHI. ACM, 383– 392.

      [10] W. Jansen, “Authenticating Mobile Device Users Through Image Selectionâ€, Data Security, 2004.

      [11] L. Sobrado and J.-C. Birget, "Graphical Passwords," The Rutgers Scholar, An Electronic Bulletin for Undergraduate Research, vol. 4, 2002.

      [12] S. Man, D. Hong, and M. Mathews, "A shoulder surfing resistant graphical password scheme", In Proceedings of International conference on security and management. Las Vegas, NV, 2003.

      [13] Déjà Vu: a user study using images for authentication by Rachna dhamija and Adrian perrig from SIMS/CS, Universtiy of California Berkeley.

      [14] G. E. Blonder, "Graphical passwords, " in Lucent Technologies, Inc., Murray Hill, NJ, U. S. Patent, Ed. United States, 1996

      [15] S. Wiedenbeck, et al., “PassPoints: Design and longitudinal evaluation of a graphical password systemâ€, International Journal of Human-Computer Studies, 63, pp. 102–127, 2006.

      [16] M. Boroditsky. Passlogix password schemes. http://www. passlogix. com.

      [17] Muhammad Daniel Hafiz, Abdul Hanan Abdullah, Norafida Ithnin, Hazinah K. Mammi; “Towards Identifying Usability and Security Features of Graphical Password in Knowledge Based Authentication Techniqueâ€; IEEE Explore, 2008.

      [18] Chiasson, S. 2008. Usable authentication and click-based graphical passwords.

      [19] Ph. D. thesis, School of Computer Science, Carleton University.

      [20] http://windows. microsoft. com/en-in/windows-8/personalize-pc-tutorial.

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  • How to Cite

    Kameswara Rao, M., S.G. Santhi, D., & Md.Ali Hussain, D. (2018). Spin Wheel Based Graphical Password Authentication Resistant to Peeping Attack. International Journal of Engineering & Technology, 7(2.7), 984-987. https://doi.org/10.14419/ijet.v7i2.7.11607