Project Director

Xie, Mengjun

Department Examiner

Sakib, Shahnewaz K.

Department

Dept. of Computer Science and Engineering

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

The evolution of cybersecurity has led to a spike in digital threats, both in frequency and complexity, necessitating advanced, intelligent solutions to protect sensitive information. Traditional defense mechanisms are increasingly inadequate, pushing cybersecurity professionals to seek innovative approaches for threat detection, response, and data analysis. This thesis investigates the integration of Large Language Models (LLMs) and Knowledge Graphs into cybersecurity workflows to address these challenges. Specifically, it explores the development of a web application that enables real-time, interactive use of state-of-the-art LLMs, such as OpenAI’s GPT-4 and similar models, for improved threat response and workflow efficiency. Built with a React frontend and FastAPI backend, the application allows for seamless interactions with multiple LLMs, offering tools to evaluate model responses, track performance, and handle cybersecurity-specific queries. The inclusion of Knowledge Graphs further improves the structured retrieval of information, providing cybersecurity professionals with a platform for managing complex cybersecurity efforts. Additionally, an automated performance evaluation system ensures response accuracy, crucial for sensitive cybersecurity tasks. This research demonstrates the potential of LLMs to benefit cybersecurity capabilities, showing their role in advancing threat detection, response generation, and comprehensive data analysis.

Degree

B. S.; An honors thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Bachelor of Science.

Date

12-2024

Subject

Computer security; Knowledge representation (Information theory)--Computer networks--Security measures; Machine learning--Computer networks--Security measures; Programming languages (Electronic computers); Web applications--Design and construction

Keyword

Cybersecurity; Full-stack; Application; LLM; Knowledge Graph; FastAPI; React; Query; Programming; Database

Discipline

Cybersecurity

Document Type

Theses

Extent

iii, 30 leaves

DCMI Type

Text

Language

English

Rights

http://rightsstatements.org/vocab/InC/1.0/

License

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

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Cybersecurity Commons

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