Graphical Password Authentication using Persuasive Cued Click-Points Mechanism
V. Prasath, R. Buvanesvari1, P. Nithin, S. Banu2, K. Rajeswari3
1V.Prasath, Assistant Professor, Department of Computer Science and Engineering, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, India. R.Buvanesvari, Assistant Professor, Department of Computer Science and Engineering, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, India.
2P.Nithin, Final Year UG Student, Department of Computer science and Engineering, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, India. S.Banu, Final Year UG Student, Department of Computer science and Engineering, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, India.
3K.Rajeswari, Final Year UG Student, Department of Computer science and Engineering, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, India.
Manuscript received on December 08, 2014. | Revised Manuscript received on December 15, 2014. | Manuscript published on January 05, 2014. | PP: 142-144 | Volume-3 Issue-6, January 2014. | Retrieval Number: E1909113513/2014©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents an integrated evaluation of the Persuasive Cued Click-Points graphical password scheme, including usability and security evaluations, and implementation considerations. An important usability goal for knowledge-based authentication systems is to support users in selecting passwords of higher security, in the sense of being from an expanded effective security space. We use persuasion to influence user choice in click-based graphical passwords, encouraging users to select more random, and hence more difficult to guess, click-points
Keywords: Persuasive Cued Click-Points