Graduation Year

2026

Date of Submission

12-2025

Document Type

Campus Only Senior Thesis

Degree Name

Bachelor of Arts

Department

Mathematical Sciences

Reader 1

Mark Huber

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Abstract

This research analyzes the potential for system performance metrics to function as indicators of compromise for Zeus malware infection. The research question addressed is: “To what degree can changes in CPU, RAM, and network metrics be used to detect Zeus malware with statistical significance?” Due to institutional approval constraints, this study presents a methodological framework and projected outcomes based on existing literature rather than executed experiments. This study will examine clear measurable changes in CPU, memory consumption, and network activity before and after infection in a sandbox environment. The objective is to determine if general system monitoring is sufficient to serve as a security layer in malware detection programs by analyzing the statistical significance of observed changes in system performance.

This thesis is restricted to the Claremont Colleges current faculty, students, and staff.

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