Digital Commons Network^™

Beyond The Hype: The Fundamental Challenges Of Machine Learning-Based Android Malware Detection In Cybersecurity, Guojun Liu

USF Tampa Graduate Theses and Dissertations

Machine learning (ML) algorithms have achieved remarkable success across various domains, including cybersecurity. Inspired by these advancements, the academic security community has explored numerous ML-based approaches for Android malware detection. While ML holds significant promise in this domain, its practical deployment faces substantial challenges, including data collection, feature selection, app representation across different models, performance instability across datasets, and inherent limitations of learning-based malware detection. These challenges can lead to overly optimistic detection results and weaken the reliability of malware detection frameworks.

Android malware detection has been extensively studied using both traditional ML and deep learning (DL) approaches. Although many …

An Fgfr-P53 Developmental Signaling Axis Drives Salivary Cancer Progression, Julia M. R. Billington

USF Tampa Graduate Theses and Dissertations

Mucoepidermoid carcinoma (MEC) is the most frequently occurring salivary gland malignancy.Here, we investigated transcriptomic profiles of human fetal and adult salivary glands and MEC tumors to assess programs involved in MEC progression. Molecular and genetic analyses revealed that MEC tumors and fetal salivary glands share proliferative and developmental gene expression profiles that implicate an FGFR-p53 signaling axis in salivary MEC progression. Based on these findings, we developed a genetically engineered mouse model of advanced MEC via targeted expression of the CRTC1-MAML2 oncogene in salivary ductal cells. Specifically, CRTC1- MAML2 expression combined with p53 dysregulation in salivary ducts rewires FGF signaling …

The Political Philosophy Of Habitude: Conservatism Analytically Explained, Kyle S. Hodge

USF Tampa Graduate Theses and Dissertations

Conservatism is both undertheorized and poorly understood in philosophical political theory; all extant theories have proven deficient. They either conflate what is contingently associated with conservatism with its essence, draw mistaken generalizations from apparently conservative behavior, or else are explanatorily incomplete.

To avoid these deficiencies, I develop a rigorous, theory-neutral groundwork for evaluating theories of conservatism. This groundwork utilizes both traditional methods of analytic philosophy and, for the first time in the field, historiometry. Philosophical analysis determines the formal requirements of a successful explanation while empirical, historiometric data determines the most salient conservative exemplars whom any such theory must explain. …

The "N" Framework: A Teacher Knowledge Framework For Numeracy Across The Curriculum, Kathy O'Sullivan, Niamh O'Meara, Merrilyn Goos, Paul Conway

Numeracy

Governments and policymakers around the world are encouraging teachers to teach numeracy across the curriculum. This paper proposes a theoretical framework for the knowledge required to teach numeracy across multiple disciplines. The concept of teacher knowledge is complex and consists of many different facets of knowledge. This paper proposes a framework that integrates theories from existing models of general and subject specific teacher knowledge, along with a model of numeracy. The authors developed the "N" framework, an integrated framework of numeracy knowledge, subject specific knowledge, and pedagogical content knowledge. Each element is essential for teaching numeracy across the curriculum in …

Efficient Methods And Algorithms For Analyzing Stochastic Systems, Mohammad Ahmadi

USF Tampa Graduate Theses and Dissertations

This dissertation addresses the challenges of stochastic analysis of safety-critical systems with biological components, where unexpected behavior can lead to catastrophic events. Two fundamental challenges hinder the analysis of such systems: their typically large or infinite state spaces, and the extreme rarity of error states of interest. While Monte Carlo simulation can analyze biochemical systems without storing the state space, accurately estimating rare event probabilities becomes computationally prohibitive. Conversely, probabilistic model checking excels at analyzing extremely low probability events but becomes impractical for systems with large or infinite state spaces due to memory constraints.This work proposes two main contributions to …

Teaching Word Combinations Using Matrix Training Via Serious Gaming In Minimally Verbal Children, Nataly Innamorato

USF Tampa Graduate Theses and Dissertations

This dissertation addresses the communication challenges faced by minimally verbal children who use Augmentative and Alternative Communication (AAC), often limited to one-word expressions. The approach used involves gamifying matrix training, an empirically supported method for teaching word combinations and promoting the generalization of language skills. Across three studies, the development of an instructional game is described and evaluated with two populations, typically developing children and children who are minimally verbal. First, it introduces a gamified application of matrix training that provides training in an interactive digital environment. Second, a proof-of-concept was obtained via a multiple baseline across participants with typically …

Isotopic Fingerprints Of The Coastal Margins: Tracing Dissolved Iron Sources From Land To Sea, Hannah R. Hunt

USF Tampa Graduate Theses and Dissertations

Dissolved iron (dFe) is an essential micronutrient for sustaining life in the surface ocean. Nearly four decades of research dedicated to understanding sources, cycling and biogeochemical modifications of Fe sources in the global oceans has generated a significant body of research supporting the idea that the concentration of Fe in the surface ocean exerts significant controls on primary production and carbon uptake in the surface ocean. Creation of the GEOTRACES program greatly increased the spatial and temporal resolution of high-quality trace element and trace element isotope data revealing new insights into the global Fe cycle, especially through the use of …

Changes In Immune-Regulated Gene Methylation Over Time In Women Who Do And Do Not Develop Breast Cancer, Kyle Laney

USF Tampa Graduate Theses and Dissertations

Breast cancer survivors face elevated risks of chronic inflammatory conditions and immunedysfunction compared to the general population. These elevated health risks in survivors are well-documented but mechanistically poorly understood. This study aimed to characterize longitudinal changes in DNA methylation patterns of immune-regulatory genes in women who developed breast cancer compared to cancer-free controls. We conducted an EWAS using Sister Study cohort data, analyzing longitudinal changes in DNA methylation by comparing the difference in beta values between pre- and post-diagnosis time points in breast cancer cases versus changes over the same period in cancer-free controls. The analysis included 414 participants: 189 …

Healthy Bodies, Moral Minds, And Rural Ideals: Contextualizing Interwar British Childhood And Citizenship Through Children's Country Holidays Fund Vacations, Paula J. Pack

USF Tampa Graduate Theses and Dissertations

This dissertation uses the Children’s Country Holidays Fund (CCHF) as a critical lens to examine how philanthropy, childhood, class, public health, and rural nostalgia intersected within the broader context of citizen formation in interwar Britain. Founded in 1884 to provide country holidays for poor London schoolchildren, the CCHF evolved from a philanthropic response to Victorian slum life into an informal arm of welfare governance by the end of the interwar period. Through its country holidays, the Fund became an active participant in shaping ideals of health, morality, and civic responsibility in a period marked by heightened concern over national vitality …

The Role Of Langmuir Circulation In Coastal Flows Driven By Wind, Waves And Tides, Thathsarani Dilini Herath Herath Mudiyanselage

USF Tampa Graduate Theses and Dissertations

Langmuir Circulation (LC) is a wind and wave-driven process and is a key driver of vertical mixing and transport in the ocean. In coastal shelf regions, LC can span the entire water column, linking surface and bottom boundary layers and amplifying turbulent mixing. However, the influence of LC on vertical mixing and cross-shelf transport in shallow, tidally forced coastal waters remains poorly understood. This dissertation addresses this knowledge gap by developing a novel modeling framework based on the Reynolds-Averaged Navier–Stokes (RANS) equations, offering a computationally efficient alternative to more resource-intensive Large Eddy Simulations (LES).

The proposed RANS-based approach is first …

Throughput Of Ascon Compared With Popular Iot Encryption Algorithms, Mitchel R. Harvey (Ryan), Andrew M. Kaiser, Garrett W. Hoiness

Military Cyber Affairs

No abstract provided.

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 …

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 …

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 …

On Some Hypergraph Coloring Algorithms, Boyoon Lee

USF Tampa Graduate Theses and Dissertations

Of a given bipartite graph G = (V, E), it is elementary to construct a bipartition in timeO(|V |+|E|). For a given k-graph H = H(k) with k ≥ 3 fixed, Lovász proved that deciding whether H is bipartite is NP-complete. In this thesis, we consider the average running time of this problem. For that, let B_n = (B^(k))_n be the collection (family) of all bipartite k-graphs H on the fixed vertex set [n] = {1, ...., n}. We construct, of a given H ∈ B_n, a bipartition in time averaging O(n^k) over the class B_n. We provide two proofs …

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 …

The Epistemologization Of Scientific Knowledge: Scientific Textbooks And Education In The 18th And 19th Centuries, Brian P. Bieganski

USF Tampa Graduate Theses and Dissertations

Philosophy, despite its proclivities towards history and contextualization, often neglects to properly note various characteristics of ideas. In particular, there seems to be a kind of blindness to a key component of how ideas come into being: namely, the role of writing that leads to the preservation and transmission of ideas. Textbooks, for instance, are a key instrument for containing, disseminating, and archiving knowledge of a specific domain that can be used to introduce those complex concepts to newcomers and the unspecialized. As such, a textbook is an epistemic device used for transmitting a condensed constellation of ideas, concepts, formulas, …

Evaluating Behavioral Skills Training To Teach Salsa Dancing Skills To Adults With Autism Spectrum Disorder And/Or Intellectual Disabilities, Joshua I. Nieves

USF Tampa Graduate Theses and Dissertations

Research has demonstrated behavioral skills training (BST) to be an effective teaching procedure for acquisition of a variety of skills among both neurotypical and neurodiverse individuals across different ages. Moreover, recent studies have demonstrated the effectiveness of BST for enhancing sports performance when training neurotypical children and adults. However, there is limited research on the effectiveness of BST for enhancing sports performance, and specifically dance performance, among individuals with autism spectrum disorder (ASD) and/or intellectual disabilities (ID). Dance is a recreational activity that can serve as a form of physical activity for children and adults. Salsa is a Latin style …

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 …

Utilization Of Bixin-Loaded Polycaprolactone Nanoparticles To Ameliorate E-Cigarette-Induced Damage To Human Bronchial Epithelial Cells, Sophia R. Claymore

USF Tampa Graduate Theses and Dissertations

Electronic cigarettes (e-cigs) have increased in popularity and usage over the last few decades. E-cigs are generally composed of a liquid containing nicotine flavoring chemicals, a battery, a vaporization chamber, and a coil that heats the liquid upon inhalation of the mouthpiece. E-cigs were initially introduced as a healthy alternative to cigarette smoking. However, recent research has demonstrated that e-cigs elicit comparable cytotoxic and dangerous effects to conventional cigarettes. Bixin has been introduced in recent research as a candidate for therapeutic applications due to its innate anticancer, antioxidative, and anti-inflammatory characteristics. Nanoparticles (NPs) have emerged over the past few decades …

An Evaluation Of Check-In/Check-Out For Children With Emotional And Behavioral Disorders, Norma E. Guillen

USF Tampa Graduate Theses and Dissertations

Children with emotional and behavioral disorders (EBD) often display disruptive behavior that can hinder their learning and negatively affect the classroom environment. Check-in/Check-Out (CICO) is a Tier-2, evidence-based intervention designed to support children who have difficulty engaging in classroom activities and are at-risk of developing more severe challenging behavior. The primary goal of the intervention is to prevent the escalation of these behaviors and reduce the need for more intensive individualized interventions. However, limited research exists on the effectiveness of CICO for children with emotional and behavioral disorders (EBD). This study examined the effects of CICO on improving on-task behavior …

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 …

Psychopathy, Emotion, And Mock Juror Decision-Making, Bailey A. Hall

USF Tampa Graduate Theses and Dissertations

Research suggests that mock jurors impose harsher sentencing (including death sentencing) when defendants are described as psychopathic, but reasons for this are unclear. This preregistered study investigated the role of juror anger and cognitive biases (predecisional distortion [PDD]) in the relationship between defendant psychopathy descriptions and mock juror decision-making. In an online experiment, participants (undergraduates in a large Southeastern university [n=410] and a US Census-representative online sample [n=384]) reviewed case facts of a murder, were randomized to expert witness testimony of defendant psychopathy or control conditions and read the prosecution and defense arguments before sentencing the defendant to death or …

Food For Thought: Binge Planning Cognitions And Behaviors Within An Online Sample Of Adults With Binge-Type Eating Disorders, Rose H. Miller

USF Tampa Graduate Theses and Dissertations

Research has begun exploring the phenomenon of binge planning, wherein individuals who binge eat do so with forethought, rather than impulsively. What specific thought processes and behaviors comprise binge plans remains unexamined. How, or if, the eating disorder presentations of individuals who plan binges ahead of time differ from those who binge impulsively is also still unknown. The present study sought to explore the thoughts, emotions, and behaviors associated with binge planning, and to identify how the motivations, symptomologies, and personality traits (i.e., impulsivity) differ between binge eaters who do or do not plan their binges. An online study using …

Integrating Motivational Traits Into The Approach-Avoidance Distinction, Wesley D. Gardiner

USF Tampa Graduate Theses and Dissertations

This thesis investigates the potential for integrating motivational traits into the established approach-avoidance motivational framework, which describes individuals’ general tendencies to seek pleasure and avoid pain. Although various theories and empirical studies have advanced our understanding of approach-avoidance motivation, critical constructs such as achievement motivation and trait anxiety have often been overlooked or misoperationalized. Addressing these gaps, the current study integrates Kanfer and Heggestad’s (1997) motivational trait taxonomy with constructs from achievement goal orientation, regulatory focus theory, and reinforcement sensitivity theory. This research evaluated a hypothesized two-factor model of approach and avoidance motivation using confirmatory and exploratory factor analyses with …

An Evaluation Of The Prevent-Teach-Reinforce Secondary (Ptr-Sec) Model For Middle School Students With Emotional And Behavioral Disorders, Kevin R. Ochoa Casas

USF Tampa Graduate Theses and Dissertations

Students with emotional and behavioral disorders (EBD) may encounter a wide range of challenges in academic settings. Despite several initiatives aiming to address these challenges in the school setting, research indicates that school-based professionals are still struggling to adequately support this population, using the individualized functional behavior assessment and behavior intervention plan (FBA-BIP) process. The Prevent-Teach-Reinforce (PTR) model utilizes a manualized, team-based approach to streamline the individualized FBA-BIP process. However, more research is needed to assess the effectiveness of the PTR model to better support middle school students with EBD, particularly, in the areas of generalization and maintenance effects. This …