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Articles 1 - 30 of 39
Full-Text Articles in Entire DC Network
The Role Of Online Disinhibition On Social Media Users' Privacy Concerns And Behaviors, Lisa Thompson, Sinyong Choi
The Role Of Online Disinhibition On Social Media Users' Privacy Concerns And Behaviors, Lisa Thompson, Sinyong Choi
Faculty Articles
As social media platforms become central to digital interactions, concerns about both privacy and the disclosure of personal information have evolved. Online disinhibition—the psychological detachment users experience in digital spaces that distance their online behaviors from offline consequences—may shape perceptions of privacy risks, particularly on social media platforms like TikTok. This study examines the relationships between online disinhibition and users’ privacy concerns and protective behaviors while accounting for individuals’ sense of gratification, media awareness, identity, and experience. By exploring dimensions such as anonymity and invisibility, we investigate how these factors are linked to self-disclosure and diminished privacy caution. Findings from …
Mental Model Dilemma Of Technological Shifts And Generational Gaps? Incorporated From The Musings Of An Octogenarian., Madhavi Chakrabarty
Mental Model Dilemma Of Technological Shifts And Generational Gaps? Incorporated From The Musings Of An Octogenarian., Madhavi Chakrabarty
Atlantic Marketing Association Proceedings
No abstract provided.
The Paradox Of Perfection: Hidden Risks Of High-Performing Ai In Human-In-The-Loop Governance, Chen Zhong, Alper Yayla, Xueping Liang
The Paradox Of Perfection: Hidden Risks Of High-Performing Ai In Human-In-The-Loop Governance, Chen Zhong, Alper Yayla, Xueping Liang
Proceedings of the Cognitive Innovation Conference (CognoCon)
As AI systems achieve near-perfect accuracy in high-stakes decision-making domains, governance frameworks risk overlooking a critical paradox: superior AI reliability may render human oversight ceremonial rather than functional. This paper presents a theoretically grounded experimental research design to investigate Automation Complacency—the cognitive degradation of human vigilance triggered by sustained streaks of accurate AI outputs. Grounded in Dual-Process Theory and the competency trap literature, we hypothesize that consistent AI reliability shifts operators from analytical (System 2) to heuristic (System 1) processing, significantly impairing error detection when AI eventually fails. Using a simulated phishing detection task (N=200), we plan to test how …
Mental Model Dilemma Of Technological Shifts And Generational Gaps? Incorporated From The Musings Of An Octogenarian, Madhavi Chakrabarty
Mental Model Dilemma Of Technological Shifts And Generational Gaps? Incorporated From The Musings Of An Octogenarian, Madhavi Chakrabarty
Atlantic Marketing Association Proceedings
No abstract provided.
Gentrification, Poverty, And Investors’ Influence On Vulnerable Populations: A Market Perspective Case Study, Doreen E. Sams, Mary K. Rickard, Aruna Sadasivan
Gentrification, Poverty, And Investors’ Influence On Vulnerable Populations: A Market Perspective Case Study, Doreen E. Sams, Mary K. Rickard, Aruna Sadasivan
Atlantic Marketing Association Proceedings
No abstract provided.
Gc-1215 Clinicalrag: A Scalable Benchmark Of Privacy, Relevance, And Speed In Semantic Retrieval For Clinical Transcriptions , Pradyumna Kumar, Sai Sruti Dandibhatla, Srinivasan Subramanian, Purna Chandu Anukula, Pranitha Athukuri
Gc-1215 Clinicalrag: A Scalable Benchmark Of Privacy, Relevance, And Speed In Semantic Retrieval For Clinical Transcriptions , Pradyumna Kumar, Sai Sruti Dandibhatla, Srinivasan Subramanian, Purna Chandu Anukula, Pranitha Athukuri
C-Day Computing Showcase
Traditional keyword search struggles with the scale, complexity, and contextual depth of clinical data. This project develops and evaluates semantic search systems that better understand medical language, enabling physicians and researchers to retrieve contextually relevant information through a Retrieval Augmented Generation (RAG) framework. We integrate privacy-preserving methods, including differential privacy and homomorphic encryption to protect sensitive clinical transcriptions. For improved speed and accuracy, we enhance the baseline RAG architecture with Hierarchical Navigable Small World (HNSW) indexing and Maximal Marginal Relevance (MMR) based reranking. To ensure scalability, clinical documents are ingested using PySpark and stored in a vector database optimized for …
Systematic Review Of Elementary Cybersecurity Education: Curriculum, Pedagogy, And Barriers, Na Liu, Siyu Long, Florence Martin
Systematic Review Of Elementary Cybersecurity Education: Curriculum, Pedagogy, And Barriers, Na Liu, Siyu Long, Florence Martin
Journal of Cybersecurity Education, Research and Practice
Abstract -As children increasingly engage with digital platforms, the need for effective cybersecurity education has become urgent. This systematic review synthesizes 81 studies published between 2017 and 2024 to examine global curricula research focus and topics, pedagogical approaches and assessment methods, and key challenges in elementary cybersecurity education. The findings reveal six major thematic categories: student awareness, parental mediation, teacher engagement, curriculum design, community and policy support, and pedagogical innovation. Among instructional strategies, game-based learning and narrative storytelling emerge as the most frequently explored. Despite this growth, major gaps remain in curriculum consistency, teacher preparation, assessment rigor, and stakeholder coordination. …
Using Gamification To Teach Cybersecurity In A Social Science Course: An Experience Paper, Roderick Graham, Medina Williams
Using Gamification To Teach Cybersecurity In A Social Science Course: An Experience Paper, Roderick Graham, Medina Williams
Journal of Cybersecurity Education, Research and Practice
Meta-reviews of gamification suggest that gamifying course instruction can positively impact learners' behaviors and attitudes, leading to improved learning outcomes. However, there is a lack of literature relaying concrete experiences with developing and deploying gamified content. This experience paper contributes to filling that gap by describing the deployment of gamified instruction to students enrolled in a mid-level university social science course. These experiences are organized around four more or less chronological questions the project team needed to answer: (1) why gamify – or what is the rationale for undertaking such an endeavor, (2) what content should be gamified, (3) what …
Balancergnn: Balancer Graph Neural Network For Imbalanced Datasets, Mallika Boyapati
Balancergnn: Balancer Graph Neural Network For Imbalanced Datasets, Mallika Boyapati
Dissertations
Addressing imbalanced datasets is challenging due to machine learning models' inclination to learn the majority class. Graph construction plays a major role in determining how Graph Neural Networks (GNNs) perform on imbalanced datasets. In this research, we introduce the BalancerGNN framework to tackle highly imbalanced datasets, demonstrating its effectiveness in fraud detection as one of the case studies. This framework is designed to work for any binary node classification dataset with significant class imbalances. This research addresses the following questions: i) How effective are feature engineering techniques in the case of imbalanced datasets? ii) How do graph representation learning and …
Educating Students On The Behavioral And Psychological Aspects Of Romance Scam Victimization Via A Social Engineering Competition, Rachel Bleiman, Hwanhee Park, Aunshul Rege
Educating Students On The Behavioral And Psychological Aspects Of Romance Scam Victimization Via A Social Engineering Competition, Rachel Bleiman, Hwanhee Park, Aunshul Rege
Journal of Cybersecurity Education, Research and Practice
The online dating industry generated 2.98 billion USD in 2023 and is estimated to reach 3.6 billion USD by 2025. Not surprisingly, online dating platforms are rife with romance scams that cause financial damages, with estimated losses of 1.3 billion USD in 2022 alone. Additionally, victims suffer emotional and psychological harms. This paper shares findings from a 2023 Romance Scam and Social Engineering Competition (RSSEC) that introduced students to the behavioral and psychological aspects of romance scams. Specifically, the competition aimed to expose students to (i) understanding how victims experience social engineering (SE) - the psychological manipulation of human behavior, …
Insights In Cybersecurity Of A Smart Campus - A Review, Mircea Ţălu
Insights In Cybersecurity Of A Smart Campus - A Review, Mircea Ţălu
Journal of Cybersecurity Education, Research and Practice
The profound impact of the Internet of Things (IoT) on various fronts, is driven by technological advancements, the ubiquitous spread of information, and the emergence of transformative events. IoT presents a diverse array of possibilities within university environments, fostering a more connected and enhanced educational experience. This research undertakes a comprehensive review of existing literature to provide context to the IoT and underscore its crucial significance in the realm of smart campuses. Additionally, the paper explores the intricate connections between IoT and key concepts such as cybersecurity and wireless sensor networks to present a holistic perspective. It delves into the …
Trends From 20 Years Of Artificial Intelligence In Financial Services In Africa, Nthabiseng Moela, Lerato Matlala, Jackie Ma, Dipuo Maphutha, Hossana Twinomurinzi
Trends From 20 Years Of Artificial Intelligence In Financial Services In Africa, Nthabiseng Moela, Lerato Matlala, Jackie Ma, Dipuo Maphutha, Hossana Twinomurinzi
African Conference on Information Systems and Technology
The need for financial inclusion in Africa, particularly for marginalised groups like women and small businesses, highlights the importance of leveraging Artificial Intelligence (AI). This study provides a bibliometric analysis of AI's integration into African financial services from 2003 to 2023. The key results show a significant increase in AI use, particularly in fraud detection, credit risk prediction, and stock market volatility forecasting, with 49% of the research coming from South Africa, Nigeria, and Tunisia. However, areas like financial development management, inflation control, and gender disparities in loan access remain underexplored. The emphasis has been on the technical implementation of …
Anomalous Transaction Detection In Bank Credit Card Data Using Machine Learning, Lerdinia Varaidzo Mapepa, Jerremiah Musariwa, Lucia Makwasha, Samuel Mugijima
Anomalous Transaction Detection In Bank Credit Card Data Using Machine Learning, Lerdinia Varaidzo Mapepa, Jerremiah Musariwa, Lucia Makwasha, Samuel Mugijima
African Conference on Information Systems and Technology
Illegal money changers pose a number of risks to the financial system, including but not limited to money laundering, fraud, and other under-the-carpet dealings intended to frustrate regulatory efforts for financial integrity. The efficiency and accuracy of anti-money laundering (AML) measures using machine learning (ML) models in the detection of suspicious patterns in bank card transactions are investigated in this paper. The key focus will be to develop an efficient machine learning framework that should be proficient in underlining main transactions dealing with illegal money changers and other similar fraudulent activities. The features indicative of illicit behaviour are determined by …
Privacy Perceptions On Personal Data And Data Breaches In South Africa, Phillip Nyoni, Mthulisi Velempini, Nehemiah Mavetera
Privacy Perceptions On Personal Data And Data Breaches In South Africa, Phillip Nyoni, Mthulisi Velempini, Nehemiah Mavetera
The African Journal of Information Systems
Research shows that data breaches often occur when organizations fail to protect users’ personal data sufficiently well. Many devices are connected to the Internet such as mobile phones, smart cars, wearables and ‘Things’ which increase the number of potential entry points into data stores. This paper discusses the potential data privacy risks that users face online. The study used online content analysis and surveys to establish the privacy perceptions of users and trends of data breaches in South Africa. The findings reveal that users have a positive perception of data managers and view them as knowledgeable in data protection. Nevertheless, …
Young Adults Entering The Economy, Connor Whelan, Gabriel Bell, Christian Brantley, Javarius Seabrooks
Young Adults Entering The Economy, Connor Whelan, Gabriel Bell, Christian Brantley, Javarius Seabrooks
ENGL 1102 Showcase
This anthology is written with the hopes of educating the public about the current state of the economy and how Generation Z is entering it. This paper goes over the basics of their financial behavior, the negative affects of education monopolies, financial schemes, and new technology that Gen Z has brought to the table.
Aspects Of Pharmaceutical Networks, Hannah Rita Joseph, Afia L. Rahaman, Kaya Wilson
Aspects Of Pharmaceutical Networks, Hannah Rita Joseph, Afia L. Rahaman, Kaya Wilson
ENGL 1102 Showcase
The theme of our anthology is different drugs and processes of drug usage in the result how the various aspects of the pharmaceutical companies. We analyze the quality of health that Americans receive from certain parts of the health care industry. We have focused on informing and analyzing the increase of insulin prices, and how that affects Americans everyday lives. The delivery methods of medical cannabis, how each method is effective, and how they are administered. As well as pharmaceutical scams and how it affects elderly people, who rely on medication.
Privacy Principles And Harms: Balancing Protection And Innovation, Samuel Aiello
Privacy Principles And Harms: Balancing Protection And Innovation, Samuel Aiello
Journal of Cybersecurity Education, Research and Practice
In today's digitally connected world, privacy has transformed from a fundamental human right into a multifaceted challenge. As technology enables the seamless exchange of information, the need to protect personal data has grown exponentially. Privacy has emerged as a critical concern in the digital age, as technological advancements continue to reshape how personal information is collected, stored, and utilized. This paper delves into the fundamental principles of privacy and explores the potential harm that can arise from the mishandling of personal data. It emphasizes the delicate balance between safeguarding individuals' privacy rights and fostering innovation in a data-driven society. By …
Uc-388 Quantum Computing In Cybersecurity Related Data Analysis : A Comparative Analysis Of Classical And Quantum Machine Learning Models On Various Security Threats, Ryan Lowhorn, Zac Cardwell
Uc-388 Quantum Computing In Cybersecurity Related Data Analysis : A Comparative Analysis Of Classical And Quantum Machine Learning Models On Various Security Threats, Ryan Lowhorn, Zac Cardwell
C-Day Computing Showcase
Financial fraud has become an increasingly prevalent and sophisticated issue in the modern world, causing significant losses for individuals, businesses, and economies alike. The exponential growth of digital transactions has only accelerated the need for effective and efficient fraud detection systems to safeguard these financial ecosystems. Traditional machine learning techniques, such as Neural Networks (NNs), K-Nearest Neighbors (KNN), and Support Vector Machines (SVM), have played a crucial role in mitigating the impact of fraud by employing advanced algorithms to identify and prevent fraudulent transactions. With the recent advent of quantum computing and its potential to revolutionize the field of machine …
Privacy And Security Information Awareness And Disclosure Of Private Information By Users Of Online Social Media In The Ibadan Metropolis, Nigeria, Funmilola Olubunmi Omotayo, Joy Oluwabukola Olayiwola
Privacy And Security Information Awareness And Disclosure Of Private Information By Users Of Online Social Media In The Ibadan Metropolis, Nigeria, Funmilola Olubunmi Omotayo, Joy Oluwabukola Olayiwola
The African Journal of Information Systems
The purpose of this paper is to investigate information privacy and security awareness among online social media (OSM) users in the Ibadan metropolis, Nigeria. Building upon the social exchange theory, some factors that could influence the disclosure of private information on social media were identified. Findings from the analysis of data of 255 respondents revealed that most were aware of information privacy and security measures available on OSM, and the risks associated with the disclosure of private information on OSM. Privacy and security awareness, the perception of benefits associated with the use of OSM, the perception of risks associated with …
Reinventing Cybersecurity Internships During The Covid-19 Pandemic, Lori L. Sussman
Reinventing Cybersecurity Internships During The Covid-19 Pandemic, Lori L. Sussman
Journal of Cybersecurity Education, Research and Practice
The Cybersecurity Ambassador Program provides professional skills training for emerging cybersecurity professionals remotely. The goal is to reach out to underrepresented populations who may use Federal Work-Study (FWS) or grant sponsored internships to participate. Cybersecurity Ambassadors (CAs) develop skills that will serve them well as cybersecurity workers prepared to do research, lead multidisciplinary, technical teams, and educate stakeholders and community members. CAP also reinforces leadership skills so that the next generation of cybersecurity professionals becomes a sustainable source of management talent for the program and profession. The remote curriculum innovatively builds non-technical professional skills (communications, teamwork, leadership) for cybersecurity research …
Novel Instance-Level Weighted Loss Function For Imbalanced Learning, Trent Geisler
Novel Instance-Level Weighted Loss Function For Imbalanced Learning, Trent Geisler
Doctor of Data Science and Analytics Dissertations
Binary classification using imbalanced datasets remains a challenge. Typically, supervised learning algorithms minimize the binary cross-entropy objective function to determine the final parameter estimates. This objective function assumes an equal class distribution between the minority (i.e. events) and majority (i.e. non-events) classes, which almost never exists in real-world modeling. In the imbalanced data setting, the equal class distribution is grossly violated, and the resulting parameter estimates are biased toward the majority class. To overcome the bias and improve model generalization, we focus on modifying the original binary cross-entropy objective function by uniquely weighting each minority class observation. We base our …
Gr-175 - Credit Default Prediction Of Money Borrowing Companies Using Pyspark Framework, Jitendra Sai Kota, Mallika Boyapati
Gr-175 - Credit Default Prediction Of Money Borrowing Companies Using Pyspark Framework, Jitendra Sai Kota, Mallika Boyapati
C-Day Computing Showcase
Credit-lending companies have resorted to the use of Machine Learning algorithms in the recent past to predict the probability of default of a customer for future credit lending purposes. Most credit companies view this as a binary classification problem of predicting whether an individual would default or not. Companies have been using models of Logistic Regression for a long time because of the explainability of the final feature set used in modeling. Explainability brings transparency to every stakeholder involved in the process. Other models like Neural Nets have achieved better accuracy scores, but the features generated by them are not …
Evolving Information Security Governance Practices From Evolving Technologies: Focus On Covid-19 Lockdowns, Cosmas Ngwenya, Kennedy Njenga
Evolving Information Security Governance Practices From Evolving Technologies: Focus On Covid-19 Lockdowns, Cosmas Ngwenya, Kennedy Njenga
The African Journal of Information Systems
This paper contemporizes evolving information security (IS) governance practices during the coronavirus pandemic (Covid-19) in South Africa. Using post-structuralism as a lens, we offer distinct insights regarding how information systems and technologies are evolving and the impact they present to the governance of IS systems during intermittent lockdowns. An online self-administered questionnaire was designed and distributed using Google forms to elicit data around evolution. A link was emailed to 160 respondents fitting pre-defined criteria. Data was exported to a statistical analysis software for analysis. Our results present an important relationship between technology evolutions and IS threats and that changes in …
Classifying Imbalanced Financial Fraud Data Utilizing Enhanced Random Forest Algorithm, Charles Gardner
Classifying Imbalanced Financial Fraud Data Utilizing Enhanced Random Forest Algorithm, Charles Gardner
Master of Science in Computer Science Theses
Imbalanced datasets have been a unique challenge for machine learning, requiring specialized approaches to correctly classify the minority class. Financial fraud detection involves using highly imbalanced datasets with a class imbalance of up to .01% frauds to 99.99% regular transactions. It is essential to identify all frauds in financial fraud detection, even if some classifications' precision is low. I developed a random forest assembly that separates fraudulent transactions into tiers of precision. With this approach, 96% of fraudulent transactions are identified, showing an 8% increase in recall when compared to standard approaches. 59% of fraud classifications' precision increases by 10% …
Emerging Internet Technologies And The Regulation Of User Privacy, Phil Nyoni, Mthulisi Velempini, Nehemiah Mavetera
Emerging Internet Technologies And The Regulation Of User Privacy, Phil Nyoni, Mthulisi Velempini, Nehemiah Mavetera
The African Journal of Information Systems
Modern Internet-based technologies pose a threat to privacy, as they possess multiple sensors or features that collect data about users. There is a need to determine the privacy risks that affect users in South Africa as there are a few studies on the subject. A qualitative study was done which involved interviewing seven experts and a survey consisting of 101 respondents. The results show that regulators view emerging technologies as potentially risky and are motivated by public interest to develop protective laws. It therefore is necessary that regulators develop robust laws to help prevent privacy violations. Furthermore, this paper proposes …
A Survey Of Serious Games For Cybersecurity Education And Training, Winston Anthony Hill Jr., Mesafint Fanuel, Xiaohong Yuan, Jinghua Zhang, Sajad Sajad
A Survey Of Serious Games For Cybersecurity Education And Training, Winston Anthony Hill Jr., Mesafint Fanuel, Xiaohong Yuan, Jinghua Zhang, Sajad Sajad
KSU Proceedings on Cybersecurity Education, Research and Practice
Serious games can challenge users in competitive and entertaining ways. Educators have used serious games to increase student engagement in cybersecurity education. Serious games have been developed to teach students various cybersecurity topics such as safe online behavior, threats and attacks, malware, and more. They have been used in cybersecurity training and education at different levels. Serious games have targeted different audiences such as K-12 students, undergraduate and graduate students in academic institutions, and professionals in the cybersecurity workforce. In this paper, we provide a survey of serious games used in cybersecurity education and training. We categorize these games into …
Teaching About The Dark Web In Criminal Justice Or Related Programs At The Community College And University Levels., Scott H. Belshaw, Brooke Nodeland, Lorrin Underwood, Alexandrea Colaiuta
Teaching About The Dark Web In Criminal Justice Or Related Programs At The Community College And University Levels., Scott H. Belshaw, Brooke Nodeland, Lorrin Underwood, Alexandrea Colaiuta
Journal of Cybersecurity Education, Research and Practice
Increasingly, criminal justice practitioners have been called on to help solve breaches in cyber security. However, while the demand for criminal justice participation in cyber investigations increases daily, most universities are lagging in their educational and training opportunities for students entering the criminal justice fields. This article discusses the need to incorporate courses discussing the Dark Web in criminal justice. A review of existing cyber-criminal justice programs in Texas and nationally suggests that most community colleges and 4-year universities have yet to develop courses/programs in understanding and investigating the Dark Web on the internet. The Dark Web serves as the …
Towards A Development Of Predictive Models For Healthcare Hipaa Security Rule Violation Fines, Jim Furstenberg, Yair Levy
Towards A Development Of Predictive Models For Healthcare Hipaa Security Rule Violation Fines, Jim Furstenberg, Yair Levy
KSU Proceedings on Cybersecurity Education, Research and Practice
The Health Insurance Portability and Accountability Act’s (HIPAA) Security Rule (SR) mandate provides a national standard for the protection of electronic protected health information (ePHI). The SR’s standards provide healthcare covered entities (CEs’) flexibility in how to meet the standards because the SR regulators realized that all health care organizations are not the same. However, the SR requires CEs’ to implement reasonable and appropriate safeguards, as well as security controls that protect the confidentiality, integrity, and availability (CIA) of their ePHI data. However, compliance with the HIPAA SR mandates are confusing, complicated, and can be costly to CEs’. Flexibility in …
Investigating Information Security Policy Characteristics: Do Quality, Enforcement And Compliance Reduce Organizational Fraud?, Dennis T. Brown
Investigating Information Security Policy Characteristics: Do Quality, Enforcement And Compliance Reduce Organizational Fraud?, Dennis T. Brown
Doctor of Business Administration Dissertations
Organizational fraud, a deceitful practice or willful device resorted to with intent to deprive another of his right, or in some manner to do harm or injury, is a growing global concern. While cyberattacks from the outside are more expected, the internal security threat from trusted insiders is responsible for significantly more information compromise than external threats. Information systems make life easier but are increasingly used by employees to perpetrate fraudulent activities. For example, a trusted insider employee with access to sensitive customer databases could misappropriate information and sell it to a competitor for personal gain. These type losses are …
Have We Overlooked The Benefits Of Nas, James C. Rich
Have We Overlooked The Benefits Of Nas, James C. Rich
Doctor of Business Administration Dissertations
Are nonaudit services (NAS) good or bad? Regulators, investors, and the professional accounting community have intensely debated this question for the last five decades. While seemingly a simple question, the abundance of conflicting literature surrounding this topic has indicated that the answer is anything but simple. The professional accounting community maintains that joint provision of the audit engagement and NAS results in a more in-depth knowledge base that positively impacts the auditor/client relationship. Regulators and investors have taken an opposing view by arguing that NAS lead auditors to compromise their independence. While an extensive body of literature has sought to …