• Virendra Nagoriya
• Saurav Yadave
• Rohit Kumar
• Prof. Laxmikant .M

With the ever increasing demand for more secure access control in many of today’s security applications, traditional methods such as PINs[1][7], tokens, or passwords fail to keep up with the challenges presented because they can be lost or stolen. On the other hand, biometrics based on “who” the person is or “how” the person behaves presents a significant security advancement to meet these new challenges. Among them, keystroke dynamics provide a natural choice for secure “password-free” computer access Keystroke dynamics refer to the habitual patterns or rhythms an individual exhibits while typing on a keyboard input device. These rhythms and patterns of tapping are distinctive in the same way as a person’s handwriting or signature, due to their similar governing neurophysiological mechanism. Here an attempt is made to develop a robust system to identify the users. The idea is to add three factors of authentication by entering the correct password, cued click point concept, and identifying the users typing pattern.

Graphical Authentication, Dynamic Authorization, Keystroke Dynamic-Based Authentication, Level Securities.

"iSafe - Authorization using Typing Rhythm: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.46-49, April-2020, Available :http://www.jetir.org/papers/JETIR2004206.pdf

"iSafe - Authorization using Typing Rhythm: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp46-49, April-2020, Available at : http://www.jetir.org/papers/JETIR2004206.pdf