Committee Chair

Yang, Li

Committee Member

Wu, Dalei; Ward, Michael

Department

Dept. of Computer Science and Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

Computer systems have proven to be essential to achieving our daily tasks such as managing our banking accounts, managing our health information and managing critical information systems such as drinking water systems or nuclear power plant systems. Such distributed systems are networked and must be protected against cyber threats. This research presents the design and implementation of a stand alone web based biometric keystroke authentication framework that creates a user's keystroke typing profile and use it as a second form of authentication. Several biometric models were then bench marked for their accuracy by computing their EER. By using keystroke biometrics as a second form of authentication the overall system's security is enhanced without the need of extra peripheral devices and without interrupting a user's work-flow.

Acknowledgments

To all of the professors in the computer science department that believed in me. I would like to thank Dr. Yang for providing me many great professional and academic opportunities such as guidance in my research work, and scholarship opportunities. I would also like to thank Dr. Sartipi for also providing me the opportunity to do research in her laboratory. Dr. Kizza, thank you for your mentoring me as it helped me make valuable life decisions and Dr. Ward for all of the guidance he provided me on several research projects. Dr. Wu thank you for providing me the opportunity to be part of your U.S. Ignite research project. We would like to thank the U.S. National Science Foundation (NSF #1663105, NSF #1647175) for funding this research.

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

8-2019

Subject

Biometric identification; Computer security

Keyword

Biometric authentication; Cyber security; Keystroke authentication

Document Type

Masters theses

Extent

x, 33 leaves

Language

English

Rights

Under copyright.

License

http://creativecommons.org/licenses/by/4.0/

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