Cyber Threat Detection using Multifaceted Machine Learning Approaches - PhD Dissertation

Aug 3, 2026

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A doctoral dissertation titled “Cyber Threat Detection using Multifaceted Machine Learning Approaches” presents research in the area of industrial engineering with a focus on detecting cyber threats using multiple machine learning methods. The work is positioned as a PhD submission at the University of Tennessee, Knoxville, and includes related publication material from prior journal and conference/IEEE sources. The dissertation also includes an acknowledgements section describing academic guidance and support, along with partial funding information from the SMART scholarship program.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages179

Reading Time7 h 31 min

AccessFree to download

Dissertation Metadata and Acceptance

Major Professor and Committee Recommendations

Dissertation Title Page

Degree Information and Date

Dedication and Acknowledgements

Advisor and Committee Support

Funding and Prior Publications

University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange | Doctoral Dissertations | Graduate School | | --- | --- | | 12-2024
Cyber Threat Detection using Multifaceted Machine Approaches
Curtis Ray Rookard Jr.
University of Tennessee, Knoxville, [crookard@vols.utk.edu](crookard@vols.utk.edu)
Follow this and additional works at: [https://trace.tennessee.edu/utk_graddiss](https://trace.tennessee.edu/utk_graddiss)
Part of the Industrial Engineering Commons | Learning | Recommended Citation Rookard, Curtis Ray Jr., "Cyber Threat Detection using Multifaceted Machine Learning Approaches. " PhD diss., University of Tennessee, 2024. [https://trace.tennessee.edu/utk_graddiss/1](https://trace.tennessee.edu/utk_graddiss/1)1383 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [trace@utk.edu](trace@utk.edu). To the Graduate Council: I am submitting herewith a dissertation written by Curtis Ray Rookard Jr. entitled "Cyber Threat Detection using Multifaceted Machine Learning Approaches." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Industrial Engineering. Anahita Khojandi, Major Professor We have read this dissertation and recommend its acceptance: Catalin Roman, Hugh Medal, Zhongshun Shi Accepted for the Council: Dixie L. Thompson Vice Provost and Dean of the Graduate School (Original signatures are on file with official student records.) To the Graduate Council: I am submitting herewith a dissertation written by Curtis Ray Rookard Jr. entitled“Cyber Threat Detection using Multifaceted Machine Learning Approaches.” I have examined the final paper copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Industrial Engineering. Anahita Khojandi, Major Professor We have read this dissertation and recommend its acceptance: | Catalin Roman | | --- | | Hugh Medal | Zhongshun Shi Accepted for the Council: Dixie L. Thompson Vice Provost and Dean of the Graduate School To the Graduate Council: I am submitting herewith a dissertation written by Curtis Ray Rookard Jr. entitled“Cyber Threat Detection using Multifaceted Machine Learning Approaches.” I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Industrial Engineering. Anahita Khojandi, Major Professor We have read this dissertation and recommend its acceptance: Catalin Roman | Hugh Medal | | --- | | Zhongshun Shi | Accepted for the Council: Dixie L. Thompson Vice Provost and Dean of the Graduate School (Original signatures are on file with official student records.) Cyber Threat Detection using Multifaceted Machine Learning Approaches A Dissertation Presented for the Doctor of Philosophy Degree The University of Tennessee, Knoxville Curtis Ray Rookard Jr. December 2024 To my mom and my wife who always pushed me to further my education Acknowledgements I would like to extend my utmost appreciation and thanks to my advisor, Dr. Anahita Khojandi, who guided me through my studies at the University of Tennessee. Without her support, I would not have been able to complete my dissertation and become the researcher I am today. I would also like to extend a warm thanks to my committee members, Drs. Catalin Roman, Hugh Medal, and Zhongshun Shi for their willingness to serve

FAQs

What is the dissertation’s main topic?

The dissertation focuses on cyber threat detection using multifaceted machine learning approaches.

Which university and degree does the dissertation support?

It is presented for the Doctor of Philosophy degree at the University of Tennessee, Knoxville.

Who provided major academic supervision?

Anahita Khojandi is listed as the major professor and advisor who guided the author through the studies.

Aug 3, 2026

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