Digital Commons Network^™

Context-Aware Natural Language Processing For Malware Detection, Helen Liu, Summer Mccune, Quang Duy Tran, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

As malware continues to evolve and cyber attacks become increasingly prevalent, it is critical to develop effective malware classification techniques for the detection and prevention of such malicious attacks. In our research, we approach malware classification from a natural language processing perspective to explore how various tokenization techniques on malware opcode features can enhance classification accuracy and combat malware obfuscation and evolution techniques with a deep learning approach, previously unaddressed by existing research. We bridge this gap by conducting extensive hyperparameter tuning experiments that examine the effects of five common tokenization methods, that is, White Space Separation, Top Single Words, …

Poster: Development Of Situation Awareness Measurement For Cybersecurity Professionals, David Schuster, Crystal Fausett, Maiyi Huang, Sabina M. Patel, Jenna Korentsides, Joseph R. Keebler, Elizabeth H. Lazzara

Faculty Research, Scholarly, and Creative Activity

Better understanding of the implications of many aspects of human behavior, especially that of cybersecurity professionals, can help develop the cybersecurity workforce. Despite efforts aimed at documenting and understanding cybersecurity professionals' knowledge, understanding of how cognition supports human performance in specific cybersecurity tasks remains limited. Specifically, understanding of the elements of situation awareness (SA), defined as goal-directed knowledge, is necessary to support human-centered evaluation, selection, training, and recruitment strategies. In this poster, we propose a framework for developing measures of situation awareness for cybersecurity professionals and a method of capturing initial effectiveness data that does not rely on access to …

Poster: Cloudsweeper: Leveraging Large Language Models To Personalize Sensitive Archive Search, Victor Escuerdo, Sergio Talavera, Gautam Santhanu Thampy, Ivan Torres, Daniel Vega Lojo, Chris Kanich, Magdalini Eirinaki

Faculty Research, Scholarly, and Creative Activity

As cyber threats continue to evolve, overlooked or neglected files stored in cloud services can pose significant risks to personal privacy and data security. In this paper we present Cloudsweeper, a system that aims to improve cloud storage security by creating tools that help users identify and manage sensitive or unwanted files. Cloudsweeper leverages Large Language Models (LLMs) with a Retrieval-Augmented Generation (RAG) architecture to develop a personalized and privacy-focused archive search system. Cloudsweeper represents an innovative approach to secure archive management, balancing user control and privacy in cloud storage environments.

Poster: Threat Intelligence & Modeling Practices For Iomt Devices Using Wi-Fi Communications, Eva Wilson, Cody Ourique, Bernardo Flores

Faculty Research, Scholarly, and Creative Activity

The integration of internet connectivity into medical devices, known as the Internet of Medical Things (IoMT), is revolutionizing modern healthcare through remote monitoring and advanced diagnostics. Among these devices, the Continuous Positive Airway Pressure (CPAP) machine plays a critical role in managing patients with Sleep Apnea. However, the security of CPAP devices presents significant concerns due to potential vulnerabilities that could lead to critical failures, such as device shutdowns. An analysis was made of the device's connectivity interface, to identify potential exploit points and vulnerabilities. Additionally, we evaluated whether existing threat modeling frameworks - namely the MITRE Adversarial Tactics, Techniques, …

Synthetic Malware Image Generation Based On Generative Models Against Zero-Day Attacks, Arjun Sudheer, Ayesha Ahmed, Fabio Di Troia, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Malware detection is a critical task for protecting our assets from attacks. However, traditional approaches to malware detection often struggle with limited datasets, which hinder the effectiveness of machine learning models. In this paper, we propose a malware image generation system designed to craft high-quality synthetic malware image samples, addressing the challenges posed by small datasets in malware detection. The proposed system utilizes two popular generative models, WGAN-GP and Diffusion, to generate synthetic malware images. It converts malware binary files into image files using four different color spaces: monochrome, grayscale, RGB, and CMYK. These images are then evaluated based on …

Telkomsel Siaga Rafi Annual Event Strategy To Improve Brand Image By Senusa Indonesia, Margareta Manalu, Qusnul Khotimah, Alain Rishi Zacharias

Journal of Indonesian Tourism and Policy Studies

This research aims to analyze the strategy of Telkomsel Siaga RAFI annual event organized by Senusa Indonesia in order to improve Telkomsel's brand image. Through this activity, Telkomsel seeks to strengthen relationships with customers and expand its social reach, especially during Ramadan and Idul Fitri 2025. The main focus of this final report is to explore the role of event management strategies in influencing the brand image of Telkomsel. Using brand image theory and direct observation techniques, this research also identifies the steps taken by Senusa Indonesia in designing and implementing events that include knowledge sharing and donations. The results …

The Perception Of Hooliganism And Its Impact Among Naia Collegiate Soccer Players, Eric Street, Fred Cromartie, Steve S. Chen, Brandon Spradley

Findings in Sport, Hospitality, Entertainment, and Event Management

There have been multiple studies with regard to the different aspects of soccer hooliganism throughout the world. Most commonly, studies of hooliganism covered areas such as harassment, vandalism, fighting, theft, public intoxication, and crowd disorder revolving around the games of soccer in various countries. This phenomenon has been studied among the major four professional sports in the United States, yet there has been no extensive research on soccer “hooliganism” associated with Major League Soccer (MLS). This study examined the survey responses from 101 National Association of Intercollegiate Athletics (NAIA) soccer players to identify their perceptions on severity of hooliganism and …

My Time With The Fusion Industry Association (“Fia”): Future-Focused Policy For A Fusion-Powered America, Erik J. Rorem

The Dialogue

No abstract provided.

Testimonios: The Experiences Of An Undocumented Student In California Post-Daca Rescindment, Isabel Rangel

McNair Research Journal SJSU

After Deferred Action for Childhood Arrival (DACA, 2012) was rescinded

by the Trump Administration in 2017, many students were left in “limbo

legality” (Gonzalez 2012) This study addresses the question, “What are the

experiences of undocumented students regarding their academic motivation

toward graduation now that DACA has been rescinded at San Jos. State

University (SJSU)?” Grounded in a Chicana Feminist Epistemology

approach, the methodology of testimonio is used to capture the experiences

of the author alongside an undocumented graduate student. Findings

suggest that college campuses should incorporate faculty knowledgeable in

policies that affect undocumented students, Undocumented Ally trainings

in college …

Confronting The Digital Epidemic: Excessive Social Media Use (Smu) In The Wellbeing Of Young Adult Populations, Joanna Abellera

McNair Research Journal SJSU

This study will investigate the relationship between social media as a

mediator and its effects on depressive symptoms, using Social Comparisons

theory (SCT; Festinger, 1954) as a framework. A series of 8-10 articles,

obtained through the San Jose State Library Database and PsycINFO, will

explore the nature of social media addiction (SMA) and problematic social

media use (PSMU) and its relation to self-esteem of young adult

populations by comparing theoretical perspectives (i.e., cross-sectional and

experimental designs) in the literature. Studies have found that [increased

SMU has been correlated with negative outcomes such as depression,

loneliness, and increased envy]. Future studies …

Front Matter, Maria Cruz

McNair Research Journal SJSU

No abstract provided.

Full Issue

McNair Research Journal SJSU

No abstract provided.

Healthy Work Environments: Introduction To The Standards, Michelle Kidd

Creating Healthy Work Environments (CHWE)

Creating a healthy work environment (HWE) is now more important than ever. Substantial evidence exists demonstrating the impact of HWEs on nurse/healthcare team, patient, and organizational outcomes. This session focuses on the importance of HWEs and highlights ways to operationalize AACN’s six HWE standards to better achieve and sustain them. An interactive exercise will be offered for practical application of the standards.

Cognitive Rehearsal Training For Nursing Workplace Incivility: A Quality Improvement Project, Tynesha Wade, Amy Gow, Salem Dehom

Creating Healthy Work Environments (CHWE)

Andersson and Pearson (1999) introduced the concept of workplace incivility as “low-intensity deviant behavior with ambiguous intent to harm the target, in violation of workplace norms for mutual respect” (p. 457). A systematic review of the literature noted nearly two-thirds of healthcare employees have witnessed incivilities perpetuated by nurses and cited a study in which 85% of responding nurses reported experiencing incivilities in the past year (Keller et al., 2020). It has been estimated that 44% of nursing staff have been bullied in the healthcare environment (The Joint Commission, 2021).

While often used interchangeably in practice and in the literature, …

Educational Use Of Artificial Intelligence In Doctor Of Health Sciences Programs, G. Zipp, Christina B. Gunther, Douglas Kuperman, Jill Moore, Lori Rainchuso

Journal of Innovation in Health Sciences Education

Introduction: Artificial intelligence (AI) has gained increased attention in higher education with the identification of several strengths, weaknesses, opportunities, and threats regarding its utility. The aim of this study was to ascertain how doctoral programs in health sciences utilize AI as academicians and instructors.

Methods: An electronic survey was distributed to all Association of Doctoral Programs in Health Science (ADPHS) members on the mailing list (n=51), with n=19 (37.3%) voluntarily responding.

Results: The findings revealed both enthusiasm and caution regarding the use of AI in doctoral health sciences education, reflecting similar broader trends identified in the literature. Despite institutional …

Biosorption Of Crystal Violet Onto Fenugreek Seed Powder: Comprehensive Optimization Through Response Surface Methodology And Elucidation Of Dye Uptake Mechanism, Hasan M. Agha, Zaher Mundher Yaseen, Wafaa Raji Alfatlawi, Khansaa Al-Essa, Abdallah Reghioua, Hussein A. Kazem, Lee D. Wilson

AUIQ Complementary Biological System

This work investigates the efficacy of fenugreek seed powder (FSP), an agricultural product, as an economical and sustainable biosorbent for the extraction of crystal violet (CV) dye from aqueous environments. The biosorbent was analyzed using XRD, FTIR, and SEM-EDX, validating its amorphous structure, surface functional groups, and porous shape. Batch biosorption tests were adjusted utilizing a Box–Behnken design (BBD), incorporating three independent variables: FSP dose (0.02–0.1 g/100 mL), pH (4–10), and time (5–60 min). The model exhibited exceptional prediction accuracy (R² = 0.99, CV = 2.12%) and recognized all three variables as statistically significant (p < 0.05). The maximum CV removal attained was 91.8% efficiency at an FSP dose of 0.1 g/100 mL, pH 7, and a time of 60 minutes. FTIR examination indicated changes in the –OH, C=O, and C–O functional groups, signifying their participation in dye interaction, whilst SEM pictures validated dye deposition on the biosorbent surface. The biosorption process was ascribed to electrostatic forces, hydrogen bonding, π–π stacking, and pore filling. These findings underscore FSP as a viable, economical biosorbent for the removal of cationic dyes in wastewater treatment applications.

Supervisory Recovery Process For Windows Devices With Dynamic Error Handling, Hp Inc

Defensive Publications Series

The supervisory recovery method addresses these challenges by offering flexible restoration options, including automatic retries, retry from, failure impact, alternative solution, failure dependency, skip functions, and repairs for unexpected issues after OOBE. This approach minimizes manual steps, streamlining the recovery process and increasing the likelihood of a successful outcome.

Dual Radio Headset, Hp Inc

Defensive Publications Series

When a user using a Bluetooth Headset (call/music) and moves away from the Bluetooth Host, he experiences the audio becoming choppy or completely lost depending upon the various factors which culminates into Bluetooth range/coverage. Some headsets can operate up to 100 feet/ 30 m from the host by switching from class 2 to class 1 operation (based on proximity to the host) this helps to optimize the battery life.

Colaboradores

INTI: Revista de literatura hispánica

No abstract provided.

Strategies To Implement Employee Cybersecurity Awareness Programs, Felix Ngwese

Walden Dissertations and Doctoral Studies

Lack of cybersecurity awareness among employees and end-users poses significant risks to organizations. This issue is critical because inadequate cybersecurity awareness increases organizational vulnerabilities, leading to financial losses and compromised data security. Grounded in the routine activity theory, the purpose of this qualitative multiple case study was to explore strategies that IT security managers had implemented to enhance employee cybersecurity awareness. The participants were six IT security managers in Cameroon, West Africa, with strategies to implement employee cybersecurity awareness. Data were collected using semistructure interviews and a review of documents. Through thematic analysis, three themes were identified: (a) cybersecurity awareness …

Decreasing Organizational Knowledge Loss With Collaborative Learning Teams, Sandy Laurence Lembree

JWU Dissertations & Theses

Knowledge in organizations continues to be lost during attrition (Cox & Overbay, 2023). The Baby Boomers are retiring (Cox & Overbay, 2023), younger generations move (Brown, 2023), and self-interested employees hide knowledge (Ahmad & Karim, 2019; Anand et al., 2022) Collaborative learning teams (CLTs) increase knowledge transfer, which retains organizational knowledge (Ahmad & Karim, 2019). This mixed methods research was undertaken to investigate what contributors made a group in an organization into a CLT. Autonomy, competence development, group relatedness, psychological safety, shared goals and objectives, and leadership collaboration encouragement were explored for their relationships with being a CLT. Experiences were …

Nra Group Llc V. Nicole Durenleau

2025 Decisions

USDC for the Middle District of Pennsylvania

Mark Shotwell V. Delaware Department Of Safety And Homeland Securit

2025 Decisions

USDC for the District of Delaware

Decision Making In Child Protection Services: Aftermath Of A Child Fatality, Kevin Marino

Walden Dissertations and Doctoral Studies

Child fatalities resulting from abuse and neglect have a residual effect on families, communities, and child protective services (CPS) professionals tasked with ensuring child safety. The purpose of the mixed-methods study was to examine how CPS professionals made decisions in high-risk and fatality cases by evaluating decision-making processes, identifying contextual and interpersonal influences, and addressing practice questions related to administrative data, case records, caseworker and supervisor perspectives, cost implications, and organizational supports. The theoretical framework of Simon’s theory of bounded rationality and near decomposability along with Fluke et al.’s ecology of decision-making model formed the study’s analysis. The study included …

Introduction: 17(3) Emerging Scholar Summaries 2025, Rosalind Latiner Raby

Journal of Comparative & International Higher Education

No abstract provided.

Machine Learning And Crime Prevention, Emily Lizewski

Student Theses

Predictive policing uses machine learning to analyze crime patterns and help law enforcement better efficient use their resources. These tools can improve accuracy by highlighting complex trends in large sets of data. While this technology has its advantages, it also raises important ethical and social questions. Within this paper we looks at how predictive policing works, focusing on the machine learning models often used such as decision trees, random forests, gradient boosting, and models that factor in both time and location. It also explores how these tools might unintentionally reinforce biases already present in historical crime data. In reviewing the …

Utilization Of Colors, Lighting, And Materials As A Narrative Ai-Tool To Convey Human Emotions In Museums’ Interior Spaces. A Case Study Of The Museum Of Islamic Art Cairo, Egypt., Dalia Moati, Rawan Medhat, Fagr Hesham, Nada Khaled, Tamer

Architectural Engineering

This study explores the relationship between museum interior design and human emotional responses, focusing on how key design elements—color, lighting, and materials—can be optimized to enhance visitor engagement and emotional well- being. Conducted at the Museum of Islamic Art in Cairo, Egypt, the research examines two critical spaces along the visitor journey: the Medicine Hall, introducing the experience, and the Writings Hall, situated toward the end of the route, where fatigue and emotional disengagement often occur. Over a nine-week period, a mixed-methods approach was employed, integrating structured observation, behavioral mapping, and AI-assisted image modifications to generate controlled design variations, alongside …

Exploring The Service-Learning Volunteer Experience Of African American Male Educators In Urban Schools, Gia N. Paige

Walden Dissertations and Doctoral Studies

Educators who self-identify as African American male educators are underrepresented in educational leadership and scholarship on service learning, despite the significant roles they play in shaping urban educational spaces. In this qualitative phenomenological study, the lived service experiences of five African American male educators who engaged in service-learning and volunteerism in urban schools were explored. The purpose was to examine how these educators narrated their service experiences and how those experiences intersected with their identity as African American males. African American male theory was used to frame the study, emphasizing cultural heritage, resistance to deficit perspectives, and the affirmation of …

Exploring Cybersecurity Strategies Used To Protect Personal Health Information From Cyberattacks When Using Telemedicine, Samara Torres

Walden Dissertations and Doctoral Studies

The healthcare industry has been impacted by an increase in cybersecurity breaches because of cyberattacks when using telemedicine. It is crucial that information technology (IT) managers in the private healthcare industry protect personal health information (PHI) to uphold patients’ right to privacy, maintain their trust, prevent legal ramifications, and to comply with government regulations. This qualitative pragmatic research used the integrated system theory (IST) as a road map to explore effective cybersecurity strategies used to protect PHI in telemedicine. The participants were seven IT managers in the private healthcare industry within the United States who had experience with cybersecurity strategies …

Effective Employee Retention Strategies To Maintain Generation Y Employees, Patricia Joanna Straughn

Walden Dissertations and Doctoral Studies

Employee retention for Generation Y workers is still an ongoing challenge for human resource managers. To foster a stable and productive workforce, it is crucial for HR managers to understand and apply effective retention strategies. Grounded in Herzberg’s two-factor motivation theory, this qualitative pragmatic inquiry study aims to identify effective employee retention strategies that human resources managers employ to retain their Generation Y employees. The targeted participants consisted of six human resource managers in the United States who had effectively utilized retention strategies to retain their Generation Y employees. Data were collected using semi structured interviews. Using thematic analysis, five …