RECALL BASED TEXTUAL PASSWORDS AUTHENTICATION SYSTEM

Yashaswini B M, Madhuri J

Abstract


Textual passwords remain the most commonly employed user authentication mechanism, and potentially will continue to be so for years to come. Despite the well-known security and usability issues concerning textual passwords, none of the numerous proposed authentication alternatives appear to have achieved a sufficient level of adoption to dominate in the foreseeable future. Password hints, consisting of a user generated text saved at the account setup stage, are employed in several authentication systems to help users to recall forgotten passwords. However, users are often unable to create hints that jog the memory without revealing too much information regarding the passwords themselves. The proposed method involves rethink of password hints by introducing a novel cued recall-based textual password method that reveals no information regarding the password, requires no modifications to authentication servers, and requires no additional setup or registration steps. This will make use of users’ contact lists, so that mapped password hints extracted from a user’s contacts are automatically generated while the user is typing the password.

 


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References


Matteo Dell’Amico, Pietro Michiardi and Yves Roudier, “Password Strength: An Empirical Analysis,” in IEEE communication Society , IEEE, 2010.

Sonia Chiasson , Alain Forget , Elizabeth Stobert , P.C. van Oorschot , Robert Biddle, “Multiple Password Interference in Text Passwords and Click-Based Graphical Passwords”, page no. 500 – 511, ACM, 2009.

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Katherine M. Everitt, Tanya Bragin, James Fogarty, Tadayoshi Kohno, “A Comprehensive Study of Frequency, Interference, and Training of Multiple Graphical Passwords”, page no.889 – 899, ACM, 2009.


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