Dissertation
Running head: Keystroke Password security 2
Dissertation
Utilizing Keystroke Analysis as an Additional Security Measure to Password Security in Web Applications
ITS-832-42- Info Tech in a Global Economy
Abstract
Web Applications security plays an important role for most of the web-based applications as they use username and password (Osei, Gyamfi, & Alhassan, 2020). They are recommended to be alphanumeric, long and non-repetitive as they provide complex to the user (Lima, 2016). Keystroke dynamics techniques an alternative method of security approach have adopted due to their high efficiency in security for reducing error rates. The goal of this paper is to come up with keystroke login system that eliminates the challenges related to keystroke dynamics and obtain on stronger password security that primarily focus on keystroke dynamics-based systems (Osei et.al, 2020). The proposal consists of two scenarios- user match their typing pattern by maintaining the same hardened password across multiple login platforms, that use in file encryption or other applications requiring a long-term secret key and authentication/verifying mechanism of registered users with logged in data previously from their database (Osei et.al, 2020). And, the proposed method adds flight times and multiplied by the locate time to get the upper and lower bounds of range and the difference between the timings were calculated to enhance security. Experimental results enable the proposed keystroke dynamics approach used in password security emerged to be superior as compared to existing customary distance metrics (Osei et.al, 2020). For instance, assume the attacker discovers that the gap between the first and second keystrokes is an element dependably used by the user and these lines is utilized to create solidified secret word. At that point this may uncover data about the first and second characters of the content password, since because of dynamics, a few digraphs are more amiable to reliable inactivity redundancies than others (Monrose, Reiter, Wetzel, 2001).
Keywords—Password, Authentication, Security, Keystroke Biometrics, secret key, Web Application Security.
References
Boakye Osei, M., Opanin Gyamfi, E., & Okoe Alhassan, M. (2020). Keystroke Dynamics Algorithm for Securing Web-based Password Driven Systems. Asian Journal of Research in Computer Science, 4(4), 1-26. https://doi.org/10.9734/ajrcos/2019/v4i430119
Nathan D’ Lima (5 April 2016). Password Authentication using Keystroke Biometrics. ResearchGate. Retrieved from “https://www.researchgate.net/publication/280697601_Password_authentication_using_Keystroke_Biometrics “
Fabian Monrose, Michael K. Reiter, Susanne Wetzel (17 September 2001). Password hardening based on keystroke dynamics. Bell Labs. Retrieved from “ https://www.cs.unc.edu/~fabian/papers/ijis-draft.pdf “