Digital Commons Network^™

Anomaly Detection Of Network Layer Attacks Against Cyber Physical Systems Using Machine Learning And Deep Learning Techniques, James Alger, Michael Tu

Military Cyber Affairs

This research paper presents the analysis of using machine learning and deep learning algorithms on detecting anomalous network traffic in Cyber-Physical Systems (CPS). Using a real PLC CPS-based system, normal and anomalous network traffic will be captured using Wireshark. The research analyzes a DDoS attack. The focus of the research is to identify the most effective feature combinations and evaluate them on ML and DL models. The emphasis is on enhancing detection strategies rather than exploiting device vulnerabilities. The detection of network attacks often involves handling a vast array of high-level features. Previous studies (Li & Chasaki, 2022) apply machine …

Characterizing Caldera’S Cyber Attack Emulation Capabilities, Caleb Chang, Matthew Cao, Kenyou Teoh, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

Autonomous cyber attack emulation can aid cyber defenders to identify and remediate cyber risks. MITRE’s Caldera software is the state-of-the-practice for automated attack emulation. Yet, it has not been systematically analyzed, putting its performance and effectiveness into question. This paper systematically characterizes Caldera’s architecture, abilities and use cases, and assesses its strengths and weaknesses. It draws useful insights, such as: Caldera excels in stealthy access and execution tactics to pilfer data against Windows operating systems. It also discusses two directions for Caldera improvement: module-level automation and end-to-end attack emulation.

The Digital Battlefield: Safeguarding Military Drones Against Cyberattacks, Jason Ashong, Arun Venkitanarayanan, Benjamin Yankson

Military Cyber Affairs

The Internet of Battlefield Things (IoBT) is an advanced network of interconnected devices that significantly enhance military operations through real-time data exchange and situational awareness. While IoBT offers tactical advantages like improved surveillance, reconnaissance, and operational effectiveness, it also introduces substantial cybersecurity risks. Adversaries can exploit vulnerabilities within these networks, potentially compromising mission integrity and national security. This research examines the cybersecurity measures of commercial drone controllers and their correlation with military devices. It aims to enhance future vulnerability assessments with advanced tools and approaches to better secure critical military operations. The study highlights the need for robust security architectures …

Using Blockchain Technology To Help Secure America's Defense Critical Infrastructure, Vimal Buck, Aerin Krebs, Brynn Hillard, Jakob Gerha, Joseph Lutma, Srikar Maduposu, Ted Allen

Military Cyber Affairs

Critical water infrastructure in the United States faces increasing cybersecurity threats from state-sponsored actors, with potentially devastating consequences for national security, economic stability, and public health. (Cybersecurity and Infrastructure Security Agency, 2025). This infrastructure supports defense critical assets and is actively being targeted by various state-sponsored hacking groups, which poses a major concern for civilians and military alike. K. Herath (personal communication, February 24, 2025) reported being aware of two attacks on Ohio water systems during his tenure as Cybersecurity Strategic Advisor to Ohio Governor Mike DeWine.

Water is essential to everyday life and defense and presents as a high-value …

Network And Multipath Traceroute Visualization, Cameron Makowski

Military Cyber Affairs

TraceCam introduces a new paradigm in network path analysis, leveraging GPU-accelerated WebGL visualization, advanced traceroute integrations, and AI-driven insights to transform complex routing data into actionable intelligence. Early prototypes have demonstrated significant improvements in performance, clarity, and multi-path discovery, overcoming traditional limitations in traceroute analysis. By incorporating retrieval-augmented language models and enriched metadata sources like IPinfo.io, TraceCam enables automated anomaly detection, contextual explanations, and rapid root-cause analysis, enhancing operational efficiency. The platform’s architecture ensures scalability and adaptability, supporting deeper investigations and real-time situational awareness. Future development will focus on clustering-based anomaly detection, expanded geographic visualizations, and enhanced AI-generated analysis to …

Quantifying Adversary Military Forces’ Susceptibility To Cognitive Attacks, Bonnie Rushing, Cole Nelson, Shouhuai Xu, Christofer “Raven” O’Keefe, Olga Karpoyan

Military Cyber Affairs

This paper introduces a method to quantify international populations’ susceptibility to cyber cognitive attacks using press freedom and media trust metrics. We present the Cognitive Influence Calculator, a tool that estimates susceptibility (𝑆) based on Press Freedom Scores (PFS) and media trust levels. Findings show that while authoritarian regimes are harder to reach, successful cognitive attacks have greater impacts due to higher trust in state-controlled narratives. Using U.S. wargaming data and international trust metrics, we compute susceptibility scores for the U.S., Russia, China, Iran, and North Korea. Results show an inverse relationship between PFS and media susceptibility, with local/allied …

Forward, Amy Hamilton

Military Cyber Affairs

No abstract provided.

Understanding Russia’S Cyber Policies, Strategies, And Doctrines, Bryan Hancock, Hanh Nguyen, Olga Karpoyan, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

This study analyzes the strengths and weaknesses of Russia’s cyber policies, strategies, and doctrines through a systematic set of attributes, leading to key insights: (i) Russia has proactively adapted its cyber policies, strategies, and doctrines to its evolving environment; (ii) Russia actively conducts cognitive warfare, but remains equally vulnerable to it; and (iii) Russia’s cyber posture faces significant challenges, including a limited technological base, shortage of skilled personnel, and restrictive approach to information control, all of which undermine the effectiveness of its strategies. These insights offer valuable implications for US Cyber Command and the Department of Defense.

Characterizing Cyberattacks Against Operational Technology Infrastructures Through The Lens Of Attack Flows, Sherman Kettner, Caleb Chang, Ekzhin Ear, Shouhuai Xu

Military Cyber Affairs

Operational Technology (OT) infrastructures play a critical role in modern society and economy. However, their increasing connectivity with public networks such as the Internet has made them vulnerable to cyberattacks, much like traditional Information Technology (IT) systems. In particular, cyberattacks against OT infrastructures remain relatively underexplored and little understood. In this paper, we aim to deepen our understanding of cyberattacks against OT infrastructures. For this purpose, we propose a methodology, including novel cybersecurity metrics to analyze the attack flows of these attacks in an end-to-end fashion, which allows us to draw useful insights. We demonstrate the utility of the methodology …

Transatlantic Forum On Cybersecurity, Nicolas Sabouret, Julien Signoles, Marbin Pazos Revilla

GNSI Conference Reports

On June 23, 2025, the Global and National Security Institute (GNSI) in partnership with the University of Paris-Saclay’s Graduate School of Computer Science, the Florida Center for Cybersecurity and the University of South Florida Bellini College of Artificial Intelligence, Cybersecurity and Computing held the Transatlantic Forum on Cybersecurity. This international virtual event brought together leading academics to examine some of the most pressing cybersecurity issues of today. Thought-provoking discussions touched on formal models for cybersecurity, network security and the implications and policies for evolving cybersecurity threats.

Algorithms Of Eversion: Contemporary States And Digital Sovereigns, James Libengood

USF Tampa Graduate Theses and Dissertations

The rapid development of artificial intelligence (AI), the internet of things (IoT), and digitization have pushed digital sovereignty to the top of the governance agenda in the 21st century. This notion is expanded upon in this work through seven chapters encompassing theoretical underpinnings, methodological frameworks, and real-world case studies. It shows how multinational corporations dominate digital coloniality, and how the merge of physical and digital reality or eversion poses challenges. The study compares contrasting governance approaches, such as the European Union’s General Data Protection Regulation (GDPR), geared to ethical AI and data protection, versus BRICS nations’ stance on data localization …

Hierarchical Reinforcement Learning (Hrl) In Multi-Goal Spatial Navigation With Autonomous Mobile Robots, Brendon Johnson

USF Tampa Graduate Theses and Dissertations

Hierarchical reinforcement learning (HRL) is hypothesized to be able to take advantage of the inherent hierarchy in robot learning tasks with sparse reward schemes, in contrast to more traditional reinforcement learning algorithms. In this research, hierarchical reinforcement learning is evaluated and contrasted with standard reinforcement learning in complex navigation tasks. We evaluate unique characteristics of HRL, including their ability to create sub-goals and the termination function. We constructed experiments to test the differences between PPO and HRL, different ways of creating sub-goals, manual vs automatic sub-goal creation, and the effects of the frequency of termination on performance. These experiments highlight …

Effect Of Cage Eccentricity On Moment Capacity Of Drilled Shafts, Jason Schaefer Steinbach

USF Tampa Graduate Theses and Dissertations

During the construction of drilled shafts, reinforcement cages can be inadvertently placed eccentrically. Current codes, such as ACI 318 and AASHTO LRFD Bridge Specifications, assume there is little impact from such movements within the drilled shaft or that cage centering provisions are sufficiently robust. This thesis will explore the impact that reinforcement cage eccentricity has on the bending capacity of drilled shafts and propose new strength reduction and resistance factors for tension-controlled failure in drilled shafts.

A total of 208 drilled shafts across eleven counties within the state of Florida were tested using thermal integrity profiling to identify the worst …

Sea Turtle Nesting On Nourished Beaches With Different Construction Designs: A Case Study In Southeast Florida, Usa., Lara Novalvos Hernandez

USF Tampa Graduate Theses and Dissertations

This study examines the influences of different beach nourishment designs and subsequent post-nourishment profile adjustments on loggerhead (Caretta caretta) and green (Chelonia mydas) sea turtles nest survival and reproductive success. Data on time-series post-nourishment beach-profile changes, positions and elevations of turtle tracks and nest/false-crawl apices, and sea turtle nest hatch/emergence success were collected on five high density nesting beaches along the east coast of Florida: Melbourne Beach, Jensen Beach, Jupiter Island Beach, Juno Beach, and South Hutchinson Island Beach. The field data collection was conducted in 2018, 2019, 2021, and 2022 with the main goal of documenting and comparing turtle …

Bridging Virtual Robots And Physical Tasks Via Augmented Reality, Xiangfei Kong

USF Tampa Graduate Theses and Dissertations

Entry to human-robot interaction research, e.g., conducting empirical experiments, faces a significant economic barrier due to the high cost of physical robots, ranging from thousands to tens of thousands. This cost issue also severely limits the field’s ability to replicate user studies and reproduce the results to verify their reliability, thus offering more confidence to incorporate these findings. Although virtual reality (VR) user studies present a potential solution, it is unclear whether we can confidently transfer the findings to physical robots and physical environments because VR isolates both the physical robot and the physical world where robots operate. To address …

Embedding-Based Deep Learning Frameworks For Multimodal Oncology Data Integration, Aakash Gireesh Tripathi

USF Tampa Graduate Theses and Dissertations

This dissertation presents a cohesive set of novel frameworks developed to address critical challenges in oncology data integration, representation learning, and clinical information extraction. The work encompasses four interconnected projects: MINDS (Multimodal Integration of Oncology Data System), HoneyBee (Harmonized ONcologY Biomedical Embedding Encoder), LLM Extraction (Large Language Model-based Extraction from Pathology Reports), and EAGLE (Embedding Analysis for Generalized Learning in Oncology). Together, these systems enable the unification of diverse cancer data modalities—from genomics and clinical records to histopathology images and radiological scans—creating a robust foundation for advanced machine learning applications in precision oncology. By addressing key barriers in data accessibility, …

"You Should Not Judge, You Should Understand": The Effects And Perceptions Of An Empathy Embedded Teacher Inquiry Framework, Erica J. Milor

USF Tampa Graduate Theses and Dissertations

A slew of challenges make up the landscape of special education today-from teacher shortages to lack of resources and vast inequities. Teachers must be able to effectively address the diverse needs of students in the midst of the aforementioned challenges at a micro, meso, and macro level. Teacher Inquiry, an iterative problem-solving cycle, is an effective framework for teachers to do so. The purpose of this study was to develop a systematic empathy-embedded problem-solving cycle for special education teachers in order to increase student progress and effective problem-solving in the educational setting, while exploring how teachers say they perceive this …

Quantifying Wellbore Effects During Co2 Sequestration In A Saline Aquifer, Uzoma Johnpaul Ajugwe

USF Tampa Graduate Theses and Dissertations

Carbon capture and storage (CCS) is a strategy for mitigating climate change by reducing greenhouse gas emissions from large stationary sources like fossil-fuel-fired power stations. One method of CCS involves carbon dioxide (CO2) sequestration in deep saline aquifers, where supercritical CO2 is injected into an aquifer. The success of such projects depends on accurate predictions of CO2 behavior within the subsurface, which are obtained through numerical simulations.

TOUGHREACT, a renowned simulation tool, models subsurface fluid flow, geochemical interactions, and solute transport, providing insights into the feasibility of CO2 sequestration projects. A critical aspect of these simulations is the apportioning of …

"You Need To Make The Decision You Can Live With": An Observational Study Of Anti-Abortion Centers In Tampa Bay, Anna Broich

USF Tampa Graduate Theses and Dissertations

Anti-Abortion Centers (AACs) pose a grave threat to the reproductive health outcomes of Americans. Disguising themselves as licensed health clinics, AACs target vulnerable communities to prevent or delay abortion care through the spread of medical misinformation, contributing to abortion stigmatization. Situated in a state with a near-total abortion ban, this secret-shopper study aimed to understand the ways in which AACs in Tampa, Florida communicate anti-abortion rhetoric to pregnant people seeking abortions. Under the guise of people who suspect they are pregnant searching for abortion care, the main researcher and her assistants conducted the first phase of the study through 25 …

New Attack Surfaces Against Emerging Cloud And Web Based Infrastructures And Defenses, Junjie Xiong

USF Tampa Graduate Theses and Dissertations

Emerging network security threats, ranging from cloud-based infrastructure attacks to web-based content subversion, pose significant challenges to modern computing environments. In this dissertation, we explore two novel attack vectors that disrupt both cloud-based infrastructures and web-based content systems.

In this dissertation, we first introduce the Warmonger attack, a novel attack vector that can cause denial-of-service between a serverless computing platform and an external content server. The Warmonger attack exploits the fact that a serverless computing platform shares the same set of egress IPs among all serverless functions, which belong to different users, to access an external content server. As a …

Surface Acoustic Wave Energy Driven Degradation Of Aqueous-Based Methylene Blue, Xieqi Gu

USF Tampa Graduate Theses and Dissertations

This study investigates the degradation behavior of methylene blue (MB) under surface acoustic wave (SAW) excitation, focusing on the effects of power, frequency, hydrogen peroxide (H2O2) concentration, and the use of perovskite oxide catalysts (LFO and LSF). Initial experiments showed that MB concentrations remained stable under SAW at ~10 MHz and ~30 MHz with power levels of 1–3 W in the absence of H2O2, though solution temperatures increased. Upon introducing 1 M H2O2, MB degradation followed a second-order rate constant, with degradation rates increasing with power and significantly higher at ~30 MHz, suggesting that both frequency and power enhance free …

Wireless In-Situ Slurry Testing Device, Andrew Ward

USF Tampa Graduate Theses and Dissertations

Deep foundations are a critical piece of infrastructure used in bridge and high-rise constructions. A type of deep foundation called a drilled shaft is commonly used for these types of large structures due to their ability to resist large axial and lateral loads. Excavations in many soils require hole stabilization methods often involving drilling fluids like polymer or bentonite slurries. When used properly, these slurries prevent groundwater intrusion and side wall sloughing into the excavation. Slurry specifications are set by local or state jurisdictions, research findings, or product manufacturers. Over the years, the Florida standard specifications on slurry integrity testing …

Investigating Momentary Body Image Disturbance, Affect, And Disordered Eating Among College Students, Allison T. Cunning

USF Tampa Graduate Theses and Dissertations

Despite evidence that eating disorders are associated with elevated mortality rates, increased risk of suicide, and societal and financial burden, treatment outcomes for individuals with eating disorders remain poor. Body image disturbance has emerged as a robust risk factor for the development and maintenance of disordered eating (e.g., overeating, binge eating, purging, restriction) and theoretical and clinical perspectives most commonly operationalize body image disturbance as a trait construct. However, empirical evidence suggests body dissatisfaction may fluctuate, and these fluctuations may play an important role in the relationship between risk factors and disordered eating. The current study employed ecological momentary assessment …

Pathways To Efficient And Equitable Solutions For Large-Scale Routing Problems, Abhay Sobhanan

USF Tampa Graduate Theses and Dissertations

This dissertation addresses large-scale optimization problems in transportation emerging from hierarchical decision-making, equitable workload allocation, and innovative routing logistics. It presents three sets of contributions, each detailed in a separate chapter, and offers computational tools and insights to advance both the theory and practice of transportation systems.

The first work introduces a deep learning-enhanced genetic algorithm framework for solving the Hierarchical Vehicle Routing Problems (HVRPs). Traditional optimization approaches to such problems require extensive evaluation of multiple lower-level routing solutions and are computationally intensive. Our innovative method integrates a genetic algorithm with a pretrained graph neural network, which is trained on …

Race To The Bottom: Is Seabed Mining Worth The Cost?, Linda Nhon

GNSI Publications

There is a recent resurgence in seabed mining, particularly in the potential excavation of polymetallic nodules (PMN) for cobalt, nickel, and copper in response to the tight competition for critical minerals between the United States and China. From the 1970s to the 1980s, increased government funding in the seabed mining industry sparked a surge of academic research and international collaboration in deep-ocean exploration. Although not the sole driver of this ballooning interest, Project Azorian—the CIA’s audacious mission aboard the Glomar Explorer to recover the sunken Soviet nuclear submarine K-129—was undeniably catalytic in generating enthusiasm. Purportedly constructed by the aviation mogul …

Simulation Of Multi-Receiver Solar Power Tower By Enhancement Of Solarpilot Software And A Review Of Absorber Coating Materials For The Receivers, Yasser Mirza Baig

USF Tampa Graduate Theses and Dissertations

Central receiver concentrating solar power (CSP) towers offer significant potential for cost-effective renewable electricity but face increasing optical losses with larger heliostat fields. This thesis introduces enhancements to NREL’s SolarPILOT software through a Python-based API named CoPylot, which enables comprehensive optimization of heliostat field layouts for multi-receiver systems. The enhanced methodology incorporates per-heliostat ray tracing, receiver orientation optimization (tilt angle β), and an incidence-angle-dependent absorptance (α(θ)) model to evaluate optical performance, thermal losses, and techno-economic metrics within an integrated simulation framework.

A case study for Daggett, California demonstrates that transitioning from a baseline single-receiver system (180 m tower, 5×5 m …

Development And Photophysical Characterization Of Bioinspired Materials, Qaisar Maqbool

USF Tampa Graduate Theses and Dissertations

Porphyrins are versatile aromatic macrocycles with unique photophysical properties that make them attractive for applications in light harvesting, photocatalysis, and sustainable energy conversion. Incorporating porphyrins into metal-organic frameworks (MOFs) offers a unique opportunity to modulate their photophysical behavior through spatial confinement and host–guest interactions. This thesis explores how structural modifications influence porphyrin excited-state behavior through a multi-stage investigation. The work begins by comparing the photophysical properties of two cationic porphyrins: tetra(N-methylpyridyl) porphyrin(TMPyP) and tetra(4-N,N,N-trimethylanilinium) porphyrin(4TANP). While TMPyP exhibits significant singlet–charge transfer (S₁–CT) state mixing due to charge delocalization onto peripheral pyridinium groups, 4TANP lacks comparable behavior. The localized nature of …

Unveiling Success: A Qualitative Exploration Of Job Offer Attainment Among International Female Master's Graduates In Technology, Anna Bahvala

USF Tampa Graduate Theses and Dissertations

This qualitative study explores the job search experiences of international female graduates from a Master of Science in Business Analytics and Information Systems (MS BAIS) program in the United States. I focus on the job search and preparation strategies that differentiate graduates, earning $100,000 and above from their peers. Using an Appreciative Inquiry framework and attribution theory as a foundation, the research examines the intersection of gender, mindset, risk-taking, negotiation skills, and self-efficacy in job attainment outcomes. Nine participants were interviewed, with data analyzed using Saldaña’s coding techniques to identify common themes and behaviors. Findings indicate that high earners demonstrated …

Electrochemical Three-Dimensional Printing And Soldering, Arash Takshi, Sabrina Marie Rosa-Ortiz

USF Patents

A hydrogen evolution assisted electroplating nozzle includes a nozzle tip configured to interface with a portion of a substructure. The nozzle also includes an inner coaxial tube connected to a reservoir containing an electrolyte and an anode, the inner coaxial tube configured to dispense the electrolyte through the nozzle tip onto the portion of the substructure. The nozzle also includes an outer coaxial tube encompassing the inner coaxial tube, the outer coaxial tube configured to extract the electrolyte from the portion of the substructure. The nozzle also includes at least one contact pin configured to make electrical contact with a …

Systems, Methods, And Media For Monitoring The Production Process Of A Product, Chris Peter Tsokos, Lohuwa Mamudu

USF Patents

In accordance with some embodiments, systems, methods, and media for monitoring a production process of a product are provided. In some embodiments, a system comprises a remote server, a communications connection between the remote server and a facility database, at least one processor coupled to the communication system, and a memory device having stored thereon a set of computer readable instructions. The set of computer readable instructions cause the at least one processor to: receive a first set of data related to the production process, calculate a first monitoring index indicator for the production process based on the first set …