Cognitive Psychology Commons^™

Hybrid Deep (Cnn-Bilstm) Intrusion Detection For Defense And Mission-Critical Networks, Corey A Cheng, Jermaine Anim-Addo, Asma Jakir Hussain, Zion O Smith-Fox, Sanjay Goel, Yuksel Celik

Military Cyber Affairs

This article examines how hybrid deep learning can strengthen intrusion detection for military and defense networks. Using the CSE-CIC-IDS2018 dataset, the study evaluates a CNN-BiLSTM model designed to detect benign traffic and multiple attack categories, including DDoS, DoS, botnet, brute-force, web attack, and infiltration activity. The model achieved strong multi-class detection performance, with 0.9893 accuracy and 0.9979 ROC-AUC. The findings suggest that AI-supported intrusion detection can improve cyber defense operations, analyst triage, and protection of mission-critical networks.

Foreward, Todd Arnold

Military Cyber Affairs

No abstract provided.

Letter From The Director: Mastery In Practice, Joseph Schafer

Military Cyber Affairs

No abstract provided.

Motivation, Empowerment, And Entrepreneurial Intentions: A Pls-Sem Analysis Of Female Students In Algeria, Lotfi Mekhzoumi, Salima Ben Omar, Abderrazak Laouid, Sabrina Chikh-Amnache

Journal of Global Business Insights

This paper investigates the multidimensional nature of women’s empowerment and its impact on entrepreneurial intentions among female students at the University of El Oued, Algeria. It aims to clarify how motivational factors and perceived barriers interact with psychological, social, political, and economic empowerment to shape entrepreneurial aspirations in a developing economy context. A stratified sample of 353 female university students was used for quantitative research. A validated online questionnaire assessed entrepreneurial intention, motivation, empowerment, and barriers. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to test direct, indirect, and mediating effects between constructs, along with rigorous reliability and validity …

Numerals And Other Means Of Expressing Plurality In Language And Thought: A Developmental Perspective Across Cultures., Giovanni Giuseppe G.G. Nicosia Prof.

Numeracy

Several ancient languages use linguistic structures to differentiate between singular, dual, and plural forms that are used when one, two, or many objects are referenced. (Some languages go further, adding a trial form to differentiate two from three.) In many modern languages, numerals are used to convey precise number. After reviewing a range of ways languages express number (including the interesting case of Pirahã which does not express precise number), the paper concludes with a proposed developmental path for the expression of quantity in languages.

Conflicting Social Information And Its Impact On Sentence Comprehension In Young Adults With Dld: An Eye Tracking Study, Ansley Davis

USF Tampa Graduate Theses and Dissertations

Individuals must recognize linguistic and non-linguistic social cues to resolve contextual ambiguities in their conversations. When the linguistic and social cues match, sentence processing is facilitated. However, conflicts between linguistic and social stimuli (i.e., incongruency) can lead to prediction errors which slow sentence processing. Limited research has explored the social cognition conflict resolution skills in individuals with Developmental Language Disorder (DLD) despite their documented emotion processing deficits. This study considers the role of social prediction processing in adults with DLD as they engage in a social cognition conflict resolution task.

Young adults with DLD (n=29) and typically developing (TD) peers …

Director, Military Cyber Institute, Joseph Schafer

Military Cyber Affairs

No abstract provided.

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 …

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 …

Creative Climates: The Impact Of Different Environmental Exposure On Group And Individual Creativity, Michael P. Hopkins

USF Tampa Graduate Theses and Dissertations

This thesis examined the influence of indoor versus outdoor environmental exposure and individual versus group participation on verbal creativity performance. Guided primarily by Attention Restoration Theory (ART; Kaplan & Kaplan, 1989), it was predicted that outdoor natural settings would enhance creativity through restorative cognitive processes. Additionally, it was hypothesized that groups would outperform individuals due to the cognitive advantages of collective induction and information pooling. Participants (N = 256) completed verbal creativity tasks—Remote Associates Task (RAT; convergent creativity) and Alternate Uses Task (AUT; divergent creativity)—following a 30-minute exposure period in either an indoor student center or outdoor botanical garden setting, …

The Ensemble Code As A Constructed Working Memory, Jacob Zepp

USF Tampa Graduate Theses and Dissertations

This dissertation formalizes and refines a new theory of ensemble coding: the Non-Selective Transfer Model. Within this theory, ensemble codes and subsequent summary judgments are the result of representations constructed over a subset of information that is encoded into working memory. The work begins with a brief review of current ideas present within the ensemble coding literature, followed by a set of formalized descriptions of ensemble coding theories that have been proposed. A discussion of relevant theories present in the working memory literature is also provided to motivate the structure of the subsequent model. The Non-Selective Transfer Model 2 is …

Is It Really An Affect Gap? Outcome Type Vs. Intensity In Risky Decision-Making, Jordan E. Martin

USF Tampa Graduate Theses and Dissertations

People respond to decisions differently when emotion is involved. The affect gap hypothesissuggests that people are more likely to focus on the outcome and ignore probabilities of outcomes when emotions are strong, and people are likely to include consideration of probabilities with outcomes when emotions are weak. However, typical methodologies have a confound in the manipulation of affect, with affect-poor outcomes that are quantitative in nature (e.g., money) and affect-rich outcomes that are typically qualitative (e.g., experiences). To address this confound, I created a mixed factorial design to examine choices made in lottery pairs manipulated by intensity (low, high), outcome …

On The Role Of Prediction In Streaming Hierarchical Learning, Ramy Mounir

USF Tampa Graduate Theses and Dissertations

In today's world, AI systems need to make sense of large amounts of data as it unfolds in real-time, whether it's a video from surveillance and monitoring cameras, streams of egocentric footage, or sequences in other domains such as text or audio. The ability to break these continuous data streams into meaningful events, discover nested structures, and predict what might happen next at different levels of abstraction is crucial for applications ranging from passive surveillance systems to sensory-motor autonomous learning. However, most existing models rely heavily on large, annotated datasets with fixed data distributions and offline epoch-based training, which makes …

Cues And Identity: Assessing Substance Use Cues, Life Experience, And Context, Katelynn Carlsen

USF Tampa Graduate Theses and Dissertations

This project employs Ecological Momentary Assessment (EMA) methods alongside semi-structured interviews to examine substance use cues, or “triggers”, in the everyday context. This includes repeated assessment of participants’ behaviors and thoughts over time. EMA allows researchers to sample phenomena the moment they occur within the context. These methods are most used in psychology and clinical science. Current research on substance use relies on lab-based assessments to understand cues and their relationship to consumption (Carter and Tiffany 1999, Conklin and Tiffany 2003, Witteman et al. 2015). This analysis uses data collected by the Cues in the Everyday (CITED) Team. The CITED …

Music And Linguistic Semantic Anomalies: An Erp Study Of Integration And Expectancy On Predictive Processing Of Harmonic Music During A Self-Paced Reading Task, Jason Schmidt Avendaño

USF Tampa Graduate Theses and Dissertations

Music, like language, is widely known to communicate emotional meaning. Yet, much debate is still on whether musical information uses shared neural resources similar to language. Past experiments using only Reaction Time (RT) measures have found that when syntactic complexities in language coincide with harmonic music violations, enhanced processing difficulties suggest shared neurocognitive resources. However, researchers failed to find similar interactions in semantic word conditions. This experiment examined event-related potentials (ERPs) to index word recognition processes related to semantic expectancy generation (N400) and integration (LPC & FP) in musicians and nonmusicians. Unlike RT measures, ERP components allow us to understand …

Improving Ethics Surrounding Collegiate-Level Hacking Education: Recommended Implementation Plan & Affiliation With Peer-Led Initiatives, Shannon Morgan, Dr. Sanjay Goel

Military Cyber Affairs

Cybersecurity has become a pertinent concern, as novel technological innovations create opportunities for threat actors to exfiltrate sensitive data. To meet the demand for professionals in the workforce, universities have ramped up their academic offerings to provide a broad range of cyber-related programs (e.g., cybersecurity, informatics, information technology, digital forensics, computer science, & engineering). As the tactics, techniques, and procedures (TTPs) of hackers evolve, the knowledge and skillset required to be an effective cybersecurity professional have escalated accordingly. Therefore, it is critical to train cyber students both technically and theoretically to actively combat cyber criminals and protect the confidentiality, integrity, …

Using Digital Twins To Protect Biomanufacturing From Cyberattacks, Brenden Fraser-Hevlin, Alec W. Schuler, B. Arda Gozen, Bernard J. Van Wie

Military Cyber Affairs

Understanding of the intersection of cyber vulnerabilities and bioprocess regulation is critical with the rise of artificial intelligence and machine learning in manufacturing. We detail a case study in which we model cyberattacks on network-mediated signals from a novel bioreactor, where it is important to control medium feed rates to maintain cell proliferation. We use a digital twin counterpart reactor to compare glucose and oxygen sensor signals from the bioreactor to predictions from a kinetic growth model, allowing discernment of faulty sensors from hacked signals. Our results demonstrate a successful biomanufacturing cyberattack detection system based on fundamental process control principles.

The Effect Of Emotion On Risk Perception And The Blackstone Ratio, Brianna Duncan

USF Tampa Graduate Theses and Dissertations

In the public debate concerning crime, there are generally two opposing positions regarding error rates within guilt convictions: a greater concern for false positives (convicting an innocent person) or a greater concern for false negatives (not convicting a guilty person). Public attitudes have typically indicated that false positives should be considered worse, with a range in global surveys from 51% (Zhuo, 2021) to as high as 85% (Scurich, 2015) of the population expressing this perspective. To explore the reason behind these beliefs, the current study explores the effect of emotions. Lerner and Keltner (2000) found that fear and anger, though …

Security-Enhanced Serial Communications, John White, Alexander Beall, Joseph Maurio, Dane Fichter, Dr. Matthew Davis, Dr. Zachary Birnbaum

Military Cyber Affairs

Industrial Control Systems (ICS) are widely used by critical infrastructure and are ubiquitous in numerous industries including telecommunications, petrochemical, and manufacturing. ICS are at a high risk of cyber attack given their internet accessibility, inherent lack of security, deployment timelines, and criticality. A unique challenge in ICS security is the prevalence of serial communication buses and other non-TCP/IP communications protocols. The communication protocols used within serial buses often lack authentication and integrity protections, leaving them vulnerable to spoofing and replay attacks. The bandwidth constraints and prevalence of legacy hardware in these systems prevent the use of modern message authentication and …

Enhancing The Battleverse: The People’S Liberation Army’S Digital Twin Strategy, Joshua Baughman

Military Cyber Affairs

No abstract provided.

Operationalizing Deterrence By Denial In The Cyber Domain, Gentry Lane

Military Cyber Affairs

No abstract provided.

The Local Neurologies Of Substance Use Triggers, Breanne I. Casper

USF Tampa Graduate Theses and Dissertations

Substance use triggers are largely understood to be embedded in drug use contexts and to be a major precipitator of relapse. Yet, the relationship between triggers and future instances of drug use is not quite clear– particularly in understanding the nuances of when triggers are “triggering” and when they are not. Additionally, there is little ethnographic work that explores how individuals interact with triggers in contexts related to substance use, particularly during periods of active use. This project employs ethnographic and survey research methods to interrogate substance use triggers in the harm reduction context. In doing so, it answers the …