Digital Commons Network^™

The Evolution Of Russian And Chinese Disinformation Tactics And The Threat They Pose To The U.S. Cybersecurity, Jehovani Sese

Cybersecurity Undergraduate Research Showcase

This paper aims to discuss how disinformation has become the most powerful tool used against the United State by foreign operatives. Of these foreign operatives, Russia and China have shown the ability to use advanced tactics to truly affect the United States security. Often these tools came in the form of state-sponsored media, influence campaigns and fake online identities. This literature review explores the evolution of Russian and Chinese disinformation tactics, examining how these approaches have changed over time and become more sophisticated. This paper will highlight major campaigns which use tools such as bot networks, and social media manipulation. …

Shaped Adversarial Patches And The Ability They Hold, Nathan Hallberg

Cybersecurity Undergraduate Research Showcase

In more recent years the development of computer vision has advanced to be more comprehensive than in the past, with newer applications ranging from autonomous vehicles to security systems. The main application I will be talking about throughout this paper is an object detection algorithm called YOLO (You only look once), this algorithm is particularly significant due to their real-time performance of being able to identify and localize objects within an image in quick timing. However, the strength of these computer vision models is increasingly challenged by adversarial attacks, which manipulate the computer's vision to block a certain part of …

Elder Fraud Metrics And Preventative Measures Of Chesapeake, Virginia, Joey J. Whitmore Jr.

Cybersecurity Undergraduate Research Showcase

Geriatric crime continues to escalate in the digital era, where older individuals are disproportionately being targeted because of their low digital literacy and high susceptibility to online frauds. In this paper, we examine the breadth of elder fraud in Chesapeake, Virginia using FBI Internet Crime Complaint Center (IC3) data and state-level cybersecurity initiatives and survey responses. Older adults aged 60 and up have reported losses of over $3.4 billion in 2023 alone, underscoring the importance of proactive measures. It assesses the public awareness from traditional and AI-based perspectives revealing significant gaps in digital safety literacy and fraud reporting mechanism among …

Believing In Simulation Theory, Aeve Boucher

Undergraduate Research Symposium

This paper utilizes the frameworks, terms, and methodology used by David Chalmers in his recent book “Reality+”, along with ancient Chinese philosophers Zhuangzi and Mozi in order to make an argument for why we ought to believe that we are currently living in a simulation while at the same time withholding judgment on the metaphysical reality of whether or not we are currently living in a simulation. The argument uses Chalmers’ five different concepts of reality along with his own views of how being in a simulation would not negatively impact our currently held beliefs, especially in regards to language …

The Horror Of Memory In The Southern Gothic, Caelainn Robertson

Undergraduate Research Symposium

Scenes of expansive cotton fields and rotting Manor houses lined by moss covered oaks where strange fruit once hung induce an acute sense of horror from an audience familiar with these relics. The genre of “Southern Gothic” spans literature, film and music and is built on themes of cultural repression in the Southern United States. This tradition explores fears rooted in lingering memories of human enslavement and patriarchal domination. In a culture marked by racial violence and class oppression, evil is, often, identifiable by markers of wealth and white skin. Historical memories only exacerbate suffering. Many contemporary works use the …

Leveraging Benford’S Law And Machine Learning For Financial Fraud Detection, Benjamin R. Fu

Cybersecurity Undergraduate Research Showcase

Financial fraud, particularly credit card fraud, continues to pose substantial challenges to financial institutions due to its increasing frequency and impact on consumer trust. While traditional rule-based methods have provided foundational defenses, their limitations in scalability and adaptability have accelerated the adoption of machine learning (ML) techniques. Concurrently, Benford’s Law—a statistical principle often used in forensic accounting—has demonstrated efficacy in detecting anomalies within naturally occurring numerical datasets. This study explores a hybrid fraud detection approach that integrates Benford’s Law with supervised machine learning algorithms, including Logistic Regression, Random Forest, and k-Nearest Neighbors. Using the publicly available European credit card fraud …

17 - Mpark: A Humanities Makerspace, Margaret Konkol Kilcline, Ola Swatek, Xianzhong Meng, Elena Knudsen, Bridget Dolan

Undergraduate Research Symposium

Our mission is to promote nontraditional understandings of the textual object and to recover and celebrate the historical contributions of women and other marginalized groups to textual cultural heritage. We explore text-making with materials like thread, fiber, leather, wood, and plastic as well as a wide range of digital tools and visual recording equipment. We are devoted to expanding the impact of the humanities by supporting cross-disciplinary collaboration and by reaching beyond the university to engage with innovations and challenges that face our larger geographical and social contexts. Founded in Fall 2023 and occupying 400 square feet on the second …

Phishing Attacks And Prevention, Ruth Johnson

Cybersecurity Undergraduate Research Showcase

Phishing attacks have been the number one leading cause of identity theft and financial theft since 1990. The internet is one of the leading places where individuals’ identity is stolen. Many businesses and government agencies have been at risk of cyber phishing attacks from foreign countries. Attacks on Several U.S. federal government agencies have been hit in a global cyberattack by Russian cybercriminals that exploit a vulnerability in widely used software, according to a top us cybersecurity agency (Lyngaas, Government hit cyber-attacks, 2023).

Phishing attacks are cybercrimes where one or many individuals steal sensitive information like passwords, credit card information, …

How Can We Improve Our Security Measures To Safeguard Against Cyber Threats?, Mattea Trotter-Hicks

Cybersecurity Undergraduate Research Showcase

Many people face the issue of having their information stolen without their knowledge of what is happening. I understand that some people don’t pay attention to everything when it comes to making sure their information is being secured properly. There must be set stages for those who don’t know technology as well and will need help with knowing what to do. There are many stories of people going through issues with getting hacked or scammed out of their money or important information. We are going to dive into finding ways to fix the outcome of others knowing what to do …

Learning With Errors Parameter Analysis, Archana Parameswaran

Cybersecurity Undergraduate Research Showcase

We implement a systematic approach for generating, evaluating, and benchmarking Learning with Errors implementations in Sage Math by varying lattice dimensions, moduli, error standard deviations, and multiple error distributions to observe concrete security-efficiency tradeoffs. The security estimator maps parameter sets to concrete security levels and bits, while performance metrics measured computational efficiency and memory requirements. Results indicate that various distribution types do not significantly impact security, though binomial distributions require more computational overhead than discrete gaussian or uniform. Memory requirements increased when modulus q increased from 12289 to 65537. Larger dimensions have an exponentially growing requirement for memory, but this …

Securing Biometric Data, Alyssa F. Carroll

Cybersecurity Undergraduate Research Showcase

Biometric data has been widely adopted across various sectors, including digital identity, artificial intelligence (AI), border control, digital wallets, and national identification systems. While biometric identifiers—such as fingerprints, retina scans, and facial recognition—offer reliable and convenient authentication, they also raise significant concerns regarding privacy and security. This paper examines how biometric data is stored, the vulnerabilities it faces, and the most effective methods for safeguarding it. By highlighting the critical importance of biometric data protection, this study reviews current research on approaches, strategies, and policies that enhance security while preserving the functionality and efficiency of biometric systems.

82 - Characterization Of Manganese Ferrites For Combined Mph/Mpi Treatments, Alana Canty, Robert Ivkov, Hayden Carlton

Undergraduate Research Symposium

Magnetic particle hyperthermia (MPH) is a form of cancer treatment in which cancer cells are made more susceptible to treatments, primarily radiation, through heating. The heat is generated from exciting magnetic nanoparticles (MNPs) within an alternating magnetic field (AMF)—nanoparticles which have been injected into a tumor—and both the heating quality and imaging quality of these MNPs are determined by their magnetic properties, with the primary one being anisotropy. Magnetic nanoparticles have been introduced as both a treatment option as well as a diagnostic tool through magnetic particle imaging (MPI). When used as a diagnostic tool, MNPs act as tracers to …

76 - Cochlear Implant Candidacy In Adults: Evidence From Systematic Reviews, Madison Hastain, Stacie Raymer

Undergraduate Research Symposium

This poster provides recommendations for cochlear implant candidacy in adults based on data collected from several systematic reviews, along with information regarding the efficacy of cochlear implants in adults with varied types of hearing loss.

56 - Body Composition Change In Women Treated For Breast Cancer Before And 24 Months After Treatment, Aissatou Lo, Gregory Hundley Md, Leila Mabudian, Susan Workman, Ricardo Peral, Daniel Miller, Nathaniel Sean O'Connell, Amy Ladd Md

Undergraduate Research Symposium

Background: Breast cancer (BC) treatments including chemotherapy and radiation can alter body composition leading to significant changes of subcutaneous and visceral adiposity. Increases in fat impact physical health and influence survivorship outcomes such as quality of life and metabolic health. We hypothesized that breast cancer treatment could induce increases in body composition, especially abdominal fats. Objective: Investigate body composition change in women treated for breast cancer before and 24 months after treatment.

Methods: Case-control cohort study design that included 29 BC patients treated with anthracycline chemotherapy and 37 comparators without cancer.To assess body composition, abdominal MRIs were obtained at baseline …

48 - Improving Worship Experience: A Secure Application For Generating Worship Questions Using Ai, Hind Aldabagh, Rhys Ferris

Undergraduate Research Symposium

Improving worship Experience: A Secure application for generating worship questions using AI

Rhys Ferris

Under the direction of Hind Aldabagh, School of Cybersecurity

Generating discussion questions for family worship time during the week based on sermon notes presents an innovative and helpful tool to assist pastors in developing worship questions. Instead of using ChatGPT, hosting a small AI model with Mistral provides an alternative solution that better suits our project.

Using prompt engineering, a custom prompt was created within the statement of faith to guide the AI in reading the text file of the sermon notes. The front end consists …

47 - Enhancing Patient Experience: A Secure Self-Service Kiosk For Prescription Status In Pharmacies, Raneem Alarian

Undergraduate Research Symposium

Creating secure and dependable pharmacy kiosk systems is essential for improving both patient satisfaction and the overall efficiency of pharmacy operations. Patients often experience frustration due to long wait times at the pharmacy counter, especially when prescriptions are not ready. As a licensed pharmacy technician, I have witnessed this issue firsthand, which led me to develop a software solution developed to improve pharmacy workflow. This project focuses on the design and execution of a client-server application for a self-service pharmacy kiosk, enabling patients to securely check the status of their prescriptions before they reach the counter. Developed using Visual Studio …

36 - Investigation Of The Digital Footprint Of Scientific Research In Social Media – Preliminary Findings, Lee Logan, Dominik Soos, Sean Baker, Jian Wu

Undergraduate Research Symposium

Title: Investigation of The Digital Footprint of Scientific Research in Social Media – Preliminary Findings

Authors: Lee Logan, Sean Baker, Dominik Soos, Jian Wu

The spread of scientific information and research beyond the confines of academic institutions plays a central role in how the public understands and trusts modern sciences. Social media has become an essential means of dissemination for scholarly news, papers, and other forms of engagement. This research aims to explore how scientific research is disseminated over social media to understand its role as a bridge between peer-reviewed research and the public's overall understanding. To support the research …

32 - Nested Two Level Decomposition For Quantum Computing, Andrew Maciejunes, John Stenger, Dan Gunlycke, Nikos Chrisochoides

Undergraduate Research Symposium

Abstract—We present a two-level decomposition strategy for solving the Vehicle Routing Problem (VRP) using the Quantum Approximate Optimization Algorithm (QAOA). A Problem-Level Decomposition (PLD) partitions a 9-node (72-qubit) VRP into smaller Traveling Salesman Problem (TSP) instances. Each TSP is then further simplified via Circuit-Level Decomposition (CLD), enabling execution on near-term quantum devices. Our approach achieves up to 90% reductions in circuit depth and qubit count. These results demonstrate the feasibility of solving VRPs previously too complex for quantum simulators and provide early evidence of potential quantum utility.

31 - Shaped Adversarial Patches, Huong Quach

Undergraduate Research Symposium

In recent years, the development and deployment of computer vision models have become widespread, with applications ranging from autonomous vehicles to security systems. Among these, object detection algorithms like YOLO are particularly significant due to their real-time performance and accuracy in identifying and localizing objects within an image. However, the robustness of these models is increasingly challenged by adversarial attacks, which are deliberate manipulations designed to deceive the model's predictions.

In this paper, I present an approach to advancing the deception capabilities of adversarial patches, specifically targeting YOLO-based person detectors. The objective is to design and implement shaped adversarial patches …

08 - Blue Carbon Sequestration And Sediment Storage In Seagrass Meadows Of South Bay, Luke C. Clements, Adriana Amrhein, Richard P. Hale

Undergraduate Research Symposium

Blue carbon is stored in coastal and marine ecosystems like seagrass meadows and salt marshes, which helps combat climate change by preventing greenhouse gas emissions. This study examines the role of seagrass in carbon storage by comparing sediment cores from a mud channel and a seagrass meadow in South Bay.

We collected a 100 cm core from the mud channel and a 55 cm core from the seagrass area, taking samples every 10 cm to analyze grain size and organic carbon content. Using a wet sieving method, we separated sand from mud and measured organic carbon through loss on ignition. …

Proceedings Of The 103rd Annual Virginia Academy Of Science Meeting, 2025, Virginia Academy Of Science

Virginia Journal of Science

Proceedings (abstracts) of the 103rd Annual Meeting of the Virginia Academy of Science, May 22, 2025, at the University of Virginia, in Charlottesville, Virginia.

Summer Air Temperature Comparisons Between The Field And Woods In An Angus Beef Cattle Silvopasture In The Virginia Coastal Plain, Amy E. Edwards

Virginia Journal of Science

The objective of this study was to compare corresponding temperature readings from loggers in the field and woods in a silvopasture for Angus beef cattle. Results show that temperatures during the hottest part of the day are greater in the field than in the woods. Summary statistics show higher maximum, upper quartile, and median temperatures at the field logger with all data analyzed, indicating the temperatures in the field are overall higher than the woods, except during temperature inversions at nighttime. This highlights the importance of providing cattle with shade to prevent heat exhaustion and thermal stress, especially when the …

Program: Virginia Academy Of Science 103rd Annual Meeting, 2025, Virginia Academy Of Science

Virginia Journal of Science

Full program of the 103rd Annual Meeting of the Virginia Academy of Science. Held at the University of Virginia, Charlottesville, Virginia on May 22, 2025.

Cybermapping Solutions: A Unified Approach In Us/Nato Military Applications And Development, Nicholas Macrino

Electrical & Computer Engineering Projects for D. Eng. Degree

[First paragraph] Cyber threats are evolving in complexity and frequency, posing significant challenges for cybersecurity professionals in identifying, categorizing, and responding to attacks in real time. Unlike traditional warfare, where battlefield awareness is based on fixed geographic warfare, cyber operations involve abstract attack vectors, non-linear threat escalation, and rapidly changing network conditions. Modern cyber threats, such as advanced persistent threats (APTs), polymorphic malware, and distributed denial-of-service (DDoS) attacks, require adaptive visualization techniques that provide real-time awareness and facilitate rapid decision-making. However, existing symbology standards, such as MIL-STD-2525D, were not designed to accommodate the dynamic nature of cyber warfare. The inability …

Valorization Of Industrial Wastes To Low-Carbon Minerals, Nandan Nag

Civil & Environmental Engineering Theses & Dissertations

This study concentrates on developing methods for utilizing industrial waste materials such as red mud and phosphate slag. In this study, an electrochemical process was developed for recovering iron metal powder from red mud. Red mud is a waste material from aluminum refineries. Although red mud can be utilized as a construction and building material, its use is becoming controversial due to its high metal content, which contributes to its toxicity. However, the high iron oxide content in red mud makes it a good feedstock for producing iron. In this project, we employed an electrochemical technique for extracting iron powder …

The Experiences Of Disabled People In Physical Education, Wesley J. Wilson (Editor), Justin A. Haegele (Editor)

Human Movement Studies & Special Education Faculty Books

Bringing together a set of first- person accounts of physical education from the perspectives of disabled children and adults, this book puts disabled people’s voices in the foreground.

The book provides a rich set of case study material that deepens our understanding of the experiences of disabled people and challenges students, researchers, and practitioners to reflect critically upon their own positionality. The first part of the book discusses the ways in which disability has been conceptualized, how the voices of disabled people have sometimes been marginalized, and how nondisability power has historically framed the narratives of disabled people in physical …

A Formal Simulation Model For Discrete Rate Simulation, Thomas J. Tracey

Electrical & Computer Engineering Theses & Dissertations

Simulation is an essential tool for virtualizing systems by creating a representative model of real or hypothetical systems and observing how they change over time. Two predominant simulation paradigms include Discrete Event Simulation (DES) and Continuous Simulation, which both have their strengths and weaknesses. DES does not handle continuous state variables, while continuous simulation handles continuous state variables but encounters errors where these variables have discrete changes in their behavior. This difficulty between the two predominant simulation paradigms prompted the creation of a new simulation paradigm to cover this gap: Discrete Rate Simulation (DRS). DRS as a simulation paradigm focuses …

Understanding The Stereotypes, Emotions, And Behaviors Towards Introverts In The Workplace, Kristen M. Fisher

Psychology Theses & Dissertations

The present study utilizes the SCM and the BIAS Map to understand perceptions of introverts within the workplace and highlight potential approaches to mitigate introversion mistreatment. It was hypothesized that, when compared to extraverted employees, introverted employees would be perceived as lower in warmth and competence, receive more emotional responses of contempt, more behavioral responses of passive harm, and that contempt would mediate the relationship between competence and passive harm. Conversely, it was hypothesized that extraverts would be perceived as higher in warmth and competence, receive more emotional responses of admiration, more behavioral responses of active facilitation, and that admiration …

Black Students With Disabilities In The Virginia Community College System, David Jerome Sultzer

Educational Leadership & Workforce Development Theses & Dissertations

The advancement of policies and laws to support students with disabilities has increased the roles of students with disabilities in post-secondary institutions. There remains a significant disparity between the population of abled and disabled students and even a more significant disparity between Black and other students with disabilities on post-secondary campuses in the United States. Research has uncovered a fair amount of qualitative literature that speaks to the disparity between Black and other students with disabilities on post-secondary campuses with most of the qualitative literature from the perspective of the Black student with disabilities.

This study examined the perceptions of …

A Sysml V2 Implementation Of A Traceability And Verification Metamodel For “-Ilities”, Pacifique Munezero

Engineering Management & Systems Engineering Theses & Dissertations

Multidisciplinary knowledge and exchange of information are two of the most important aspects of complex system design within the Model-Based Systems Engineering (MBSE) domain. The next generation of systems modeling language, SysML v2, is being developed to improve the precision, expressiveness, interoperability, consistency, integration of the language concepts relative to SysML v1, and the implementation and maturation of MBSE approaches. This research focuses on using SysML v2 to model structured notations for -ilities, referred to as non-functional requirements (NFRs), to address how they can be treated with the same rigor as functional requirements and mapped directly and explicitly from the …