Keystroke Dynamics for User Authentication using SCM

Phadol, Nikita Baban (2022) Keystroke Dynamics for User Authentication using SCM. Masters thesis, Dublin, National College of Ireland.

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Abstract

Today, computer security is an important issue because it is used everywhere to store and process sensitive information. Especially for users of e-banking, e-commerce, virtual offices, e-learning, distribution, computers, and various online services. By using Keystroke Dynamics authentication technology, it is possible to protect your password against many attacks. This technology mimics human behaviour to access their passwords. The analysis in this case is intended to include human behaviour into the device design. Since the device does not require hardware, it does not require additional equipment. Password protection requires only software technology. The results indicate a positive increase in demand for web-based applications. While using the terminal, keystroke dynamics, a sort of behavioural biometrics, may guarantee a consistent user experience. System employs one-time passwords as small files for continuous authentication in this research, extending the usage of support vector machine (SVM) technology for lengthy files. By creating an SVM room for each user that accesses data from 34 user environments, it can reject real users with an astounding mistake rate (nearly 0%) and reject fraudsters. Our findings demonstrate that one-class SVM may be utilized as a tool for continuous user analysis and validation of button dynamics by formulating plans and choosing the proper kernel parameter.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Keystroke Dynamics; Authentication; Security; Biometrics; Verification
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Tamara Malone
Date Deposited:	29 Dec 2022 12:24
Last Modified:	29 Dec 2022 12:24
URI:	https://norma.ncirl.ie/id/eprint/6041

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