• DocumentCode
    3776654
  • Title

    Click and session based — Captcha as graphical password authentication schemes for smart phone and web

  • Author

    Vikas K. Kolekar;Milindkumar B. Vaidya

  • Author_Institution
    Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • fYear
    2015
  • Firstpage
    669
  • Lastpage
    674
  • Abstract
    When we consider the online service or desktop application there is major issue of security breaching. Old password schemes has some drawbacks like hacking of password, shoulder-surfing attack as far as password is concern, online password guessing attack, relay attack. Hence there must be system that provides good solution for such password cracking attacks. There are many solutions for it and various password schemes available that achieves this. The main drawback of these schemes is users have to deal with complicated and tedious steps as far as registration and login of user is concern as its logic contains some intense AI processes. These complicated AI processes are exhaustive for common user of the system. In this paper we propose authentication schemes which consist of graphical password based captchas. It consists of both a captcha and a graphical password schemes. To boost the security aspect to the next level, we contribute some captcha schemes that provide user high security at time of login. Our system provides choice of various authentication schemes to user at time of login. Along with these schemes session based authentication is also provided which will protect system from unauthorized access. We extend the use of captcha as human present recognition as well as graphical password hence it provides all benefits of captcha and make system more powerful from security point of view.
  • Keywords
    "CAPTCHAs","Authentication","Animals","Image recognition","Dictionaries","Servers"
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ICIP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/INFOP.2015.7489467
  • Filename
    7489467