Digital Commons Network^™

Charge Your Clients: Payable Secure Computation And Its Applications, Cong Zhang, Liqiang Peng, Weiran Liu, Shuaishuai Li, Meng Hao, Lei Zhang, Dongdai Lin

Research Collection School Of Computing and Information Systems

The online realm has witnessed a surge in the buying and selling of data, prompting the emergence of dedicated data marketplaces. These platforms cater to servers (sellers), enabling them to set prices for access to their data, and clients (buyers), who can subsequently purchase these data, thereby streamlining and facilitating such transactions. However, the current data market is primarily confronted with the following issues. Firstly, they fail to protect client privacy, presupposing that clients submit their queries in plaintext. Secondly, these models are susceptible to being impacted by malicious client behavior, for example, enabling clients to potentially engage in arbitrage …

The Gradient Puppeteer: Adversarial Domination In Gradient Leakage Attacks Through Model Poisoning, Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang

Research Collection School Of Computing and Information Systems

In Federated Learning (FL), clients share gradients with a central server while keeping their data local. However, malicious servers could deliberately manipulate the models to reconstruct clients' data from shared gradients, posing significant privacy risks. Although such Active Gradient Leakage Attacks (AGLAs) have been widely studied, they suffer from two severe limitations: 1) coverage: no existing AGLAs can reconstruct all samples in a batch from the shared gradients; 2) stealthiness: no existing AGLAs can evade principled checks of clients. In this paper, we address these limitations with two core contributions. First, we introduce a new theoretical analysis approach, which uniformly …

Fuzzing Drones For Anomaly Detection: A Systematic Literature Review, Vikas Kumar Malviya, Wei Minn, Lwin Khin Shar, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Drones, also referred to as Unmanned Aerial Vehicles (UAVs), are becoming popular today due to their uses in different fields and recent technological advancements which provide easy control of UAVs via mobile apps. However, UAVs may contain vulnerabilities or software bugs that cause serious safety and security concerns. For example, the communication protocol used by the UAV may contain authentication and authorization vulnerabilities, which may be exploited by attackers to gain remote access over the UAV. Drones must therefore undergo extensive testing before being released or deployed to identify and fix any software bugs or security vulnerabilities. Fuzzing is one …

A Review Of Chinese Sentiment Analysis: Subjects, Methods, And Trends, Zhaoxia Wang, Donghao Huang, Jingfeng Cui, Xinyue Zhang, Seng-Beng Ho, Erik Cambria

Research Collection School Of Computing and Information Systems

Sentiment analysis has emerged as a prominent research domain within the realm of natural language processing, garnering increasing attention and a growing body of literature. While numerous literature reviews have examined sentiment analysis techniques, methods, topics and applications, there remains a gap in the literature concerning thematic trends and research methodologies in sentiment analysis, particularly in the context of Chinese text. This study addresses this gap by presenting a comprehensive survey dedicated to the progression of research subjects, methods and trends in sentiment analysis of Chinese text. Employing a framework that combines keyword co-occurrence analysis with a sophisticated community detection …

Graphite Particles Modified By Zno Atomic Layer Deposition For Li-Ion Battery Anodes, Ahmad Helaley, Han Yu, Xinhua Liang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Graphite, with a modest specific capacity of 372 mA h g−1, is a stable material for lithium-ion battery anodes. However, its capacity is inadequate to meet the growing power demands because the formation of an irregular solid electrolyte interphase (SEI) can result in unstable performance. In this research, we used a few cycles of atomic layer deposition (ALD) to deposit ZnO on graphite particles as an anode with improved electrochemical stability. Transmission electron microscopy revealed that ZnO was in the form of nanoparticles due to the inert surface properties of graphite and only a few cycles of ALD. Electrochemical characterization …

Experimental Investigation Of Heat Transfer Behavior In Spouted Bed Reactors Under Different Operating Conditions, Hasan A. Abdulwahab, Abbas J. Sultan, Amer A. Abdulrahman, Hasan Sh Majdi, Haydar A.S. Aljaafari, Zahraa W. Hasan, Laith S. Sabri, Bashar J. Kadhim, Jamal M. Ali, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Abstract: Spouted bed reactors (SBRs) are highly valued for their effectiveness in chemical and biochemical processes due to their mixing and heat transfer capabilities. Understanding the heat transfer mechanisms in these reactors is necessary. This research delves into the heat transfer behavior of SBRs, which plays a role in enhancing their performance under operational conditions. The study conducted experiments to measure the heat transfer coefficient (HTC) at varying gas velocities (ranging from 0.32 to 0.74 m/s) at radial positions (r/R = 0, ±0.28, ±0.56, and ±0.85) and axial levels (H/D = 0.8, 2.1, and 3.5) within the spouted bed (SB) …

Evaluating Coffee And Caffeine Intake In Adults With Cardiovascular Disease: A Comparative Literature Review, Adam Harrington

Honors Undergraduate Theses

Coffee is among the most commonly consumed beverages worldwide, and its bioactive components, including caffeine, affect the cardiovascular system through multiple physiological mechanisms. Patients with cardiovascular disease are typically advised to limit coffee and caffeine consumption because of potential cardiovascular harm, but emerging research challenges this recommendation. This review evaluates recent evidence regarding consumption of whole coffee, caffeine, or decaffeinated coffee in adults with established cardiovascular disease. Database searches conducted across three platforms for studies published after December 2021 yielded 360 records. Following screening against inclusion criteria, 11 studies were reviewed included in the final review. The studies showed variable …

Road Dependence And Inventory Challenges: A Case Study Of Danone Brazil’S Dairy Supply Chain., Karollyne Nakanishi

Business ETD Collections

The research examines the Danone Brazil raw milk supply chain through the Poços de Caldas factory which operates with more than 1,200 employees and functions as a key facility in Latin America. The research investigates two main questions about how Brazilian road-based transportation affects raw milk inventory stability and which localized tools or emerging technologies would enhance supply reliability.

The research design combined survey data from 42 participants with three interviews. The study reveals that stockouts and overstock and waste occur frequently because of poor road conditions and seasonal disruptions and limited local autonomy which results in monthly milk rejection …

Impact Of Global Semiconductor Shortages On Toyota’S Supply Chain And Production Efficiency Due To Covid-19., Jadouane Dounia

Business ETD Collections

In recent years, the global automotive industry has faced significant disruption, particularly as a result of the COVID-19 pandemic. One of the most critical challenges has been the global semiconductor shortage, which has severely impacted vehicle production and supply chains. Semiconductors, commonly known as chips, are essential components in modern automobiles, supporting functions ranging from vehicle control and infotainment systems to safety features and autonomous driving technologies. The shortage has led to delays in delivering cars to consumers, reduced production capacity, and difficulties in maintaining adequate inventory levels. As a result, many automakers have been forced to slow down or …

Investigating Subscriber Churn And Retention Strategies On Disney+., Maryam El Goss

Business ETD Collections

This study examines the challenges facing Disney+, a subscription-based streaming service owned by The Walt Disney Company, in sustaining long-term growth following its rapid global expansion since 2019. While early success was driven by access to major franchises such as Disney, Marvel, Pixar, Star Wars, and National Geographic, the platform is increasingly affected by high subscriber churn. Factors including price sensitivity, content saturation, and intensified competition from platforms such as Netflix, Max, and Amazon Prime Video have contributed to declining user retention. The phenomenon of “subscription cycling,” where users subscribe temporarily to consume specific content, further destabilises revenue streams and …

Leveraging Ai-Driven Salesforce Crm To Improve Customer Retention In The Irish Insurance Sector., Mohamed El Bakouri

Business ETD Collections

This study explores the growing importance of customer satisfaction within the Irish insurance sector, a highly competitive and evolving market. Traditionally, insurers relied on personal relationships and competitive pricing to retain customers; however, modern consumers increasingly demand fast, personalised services tailored to their individual needs. In response, artificial intelligence (AI), particularly when integrated with customer relationship management (CRM) systems, has emerged as a transformative solution. Tools such as AI-powered CRM platforms enable insurers to utilise predictive analytics, generate customer insights, and enhance service delivery, thereby improving customer retention. Despite these benefits, the adoption of such technologies presents significant challenges for …

Retention Strategies Of Disney+ In Saturated Streaming Markets: A Case Study Of Ireland., Suelen Aleixo Matos

Business ETD Collections

The global streaming video-on-demand (SVOD) industry has undergone rapid transformation in recent years, with Disney+ emerging as a major competitor following its launch in 2019. Despite achieving exceptionally fast subscriber growth in its early stages, the platform now faces increasing retention challenges in mature and saturated markets such as Ireland, where competition and subscription fatigue have become key constraints on further expansion. Evidence from the Irish market indicates high levels of subscription penetration alongside stabilising or declining growth rates, with increasing patterns of subscription cycling and service cancellation driven by cost sensitivity, underuse, and the availability of multiple competing platforms. …

The Experience Of The “Too Good To Go” Platform In Ireland And Its Implementation Potential In Mongolia., Jargal Erdenebaatar

Business ETD Collections

Food waste presents a considerable challenge to global environmental, economic, and social sustainability. This study investigates the viability of replicating the “Too Good To Go” (TGTG) platform in Mongolia, informed by the experiences of the TGTG platform in Ireland. Employing a mixed-methods approach, the research includes a secondary data analysis from Ireland, an online survey administered to 162 consumers in Ulaanbaatar, and semi-structured interviews with three entrepreneurs.

The findings suggest that the success of TGTG in Ireland can be attributed to several key factors: elevated consumer awareness, a supportive environment reinforced by government policies, and accessible technology. In contrast, the …

Ryanair And The Strategic Challenge Of Innovation., Jessyca Souza Damaso

Business ETD Collections

This study examines the strategic innovation challenges facing Ryanair, a Dublin-based low-cost airline that has long dominated the European aviation market through aggressive pricing and operational efficiency. While this cost-leadership model has historically driven success, evolving market conditions—including rising digital expectations and increasing environmental regulations—now require a broader innovation approach that extends beyond operational efficiency.

The research identifies a key strategic limitation in Ryanair’s current innovation efforts, which remain primarily internally focused on cost reduction and operational improvements rather than customer experience or sustainability. Evidence suggests that passengers increasingly perceive the airline’s digital tools as outdated and lacking personalisation, while …

Booking.Com: What Drives Retention And How To Improve It., Otavio Lopes Dos Santos Rodrigues

Business ETD Collections

Online travel agencies (OTAs) have significantly reshaped the global tourism and hospitality industry by offering convenience, transparency, and extensive choice to consumers. Among these, Booking.com has emerged as a dominant market leader, operating on a global scale and serving millions of users. However, increasing competition and low switching costs present ongoing challenges in maintaining long-term customer loyalty. This study examines the evolving dynamics of trust, fairness, and conflict resolution in influencing user retention, alongside traditional functional benefits such as usability and price competitiveness. Using Booking.com as a case study, the research adopts a mixed-method approach, combining insights from a property …

Optimising Student Recruitment And Brand Awareness At Icot College Through Culturally Targeted Advertising And Social Media Strategies., Uchral Ganbold

Business ETD Collections

In today’s competitive higher education landscape, institutions increasingly rely on digital marketing strategies to attract and retain international students. ICOT College, an English Language Training provider in Ireland, faces challenges in recruiting and engaging a diverse international student base due to limited culturally tailored advertising and underutilisation of social media platforms. The global education sector has become more competitive following COVID-19, with students adopting more selective and research-driven approaches when choosing institutions. However, ICOT’s current marketing approach remains largely generic, lacking localisation, targeted messaging, and interactive digital engagement. This reduces its effectiveness in connecting with key international markets and weakens …

“Move Fast And Break Things”: Innovation, Stability, And Trust In The Growth Of Revolut., Belen Blanco Mendoza

Business ETD Collections

In this research project, I chose to examine the strategies used in the growth of the fintech Revolut, namely the ’move-fast-and-break-things’ strategy that was employed at the beginning of the company. With this in mind, I decided on two Research Questions, “With the benefit of hindsight, and a focus on problems caused by low security and poor customer support, is Revolut’s ‘move fast and break things’ philosophy a good strategy for the business?” and “Will Revolut’s new fraud prevention strategies, and advances in AI help recover the lost goodwill caused by their earlier ineffective strategies?”, which guided me …

Algorithms And Intimacy: Millennials' Social Meanings From Their Experience Using Tinder., Yuka Gega

Business ETD Collections

In recent years, the way people form relationships has undergone a profound transformation, shifting from traditional, community-based interactions to global, technology-mediated connections. Dating apps have played a central role in this shift, using algorithms and limited user data, such as photos and profiles, to match individuals. While these platforms offer convenience and expanded opportunities to meet others, they may also prioritise selection and appearance over the development of meaningful connections. The widespread adoption of smartphones has accelerated the global reach of these services, making them highly accessible and widely used, particularly among millennials. However, algorithm-driven matching introduces new challenges, including …

Strategic Digital Transformation Of Internal Audit: The Microsoft Case Study., Maria De Jesus Marin Marin

Business ETD Collections

Internal audit functions are under increasing pressure to evolve amid rapid digital innovation and rising expectations for risk responsiveness and strategic insight. While tools such as data analytics, automation, and AI offer clear benefits, many audit teams still face inefficiencies and underutilised technology. This study explores how Microsoft’s internal audit function, a case within a digitally advanced yet operationally complex environment, can enhance efficiency, risk detection, and internal controls through digital tools, agile methods, and process redesign. Drawing on qualitative research, including interviews and surveys with internal audit, IT and compliance professionals, the study bridges academic theory with practical insight. …

Harnessing The Power Of Gradient-Based Simulations For Multi-Objective Optimization In Particle Accelerators, Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

Data Science Faculty Publications

Particle accelerator operation requires simultaneous optimization of multiple objectives. Multi-objective optimization (MOO) is particularly challenging due to trade-offs between the objectives. Evolutionary algorithms, such as genetic algorithms (GAs), have been leveraged for many optimization problems, however, they do not apply to complex control problems by design. This paper demonstrates the power of differentiability for solving MOO problems in particle accelerators using a deep differentiable reinforcement learning (DDRL) algorithm. We compare the DDRL algorithm with model-free reinforcement learning (MFRL), GA, and Bayesian optimization (BO) for simultaneous optimization of heat load and trip rates in the continuous electron beam accelerator facility. The …

An Overview Of The Special Issue, Rachel Gibson, Trent Buskirk

Data Science Faculty Publications

[Introduction] Across the quantitative social sciences, researchers increasingly face significant challenges and opportunities prompted by the arrival of new sources of very rich, highly granular, and often unstructured digital data. While traditional methods such as surveys and content analysis tools remain indispensable for measuring individual attitudes, behaviors, demographic characteristics, and media messaging online, they often struggle to capture the complex multimodal information streams and metadata generated by social media platforms, mobile devices, sensors, and tracking applications. Collecting and analyzing these diverse new forms of content, dynamic moment-to-moment behaviors, and naturally occurring interactions has become a pressing and exciting research task-one …

Countries As Laboratories: Reflections On Sierra Leone’S Amended Anti-Human Trafficking Law, Andrea L. Dennis

Scholarly Works

Sierra Leone’s improved anti-trafficking laws align with global norms, but enforcement remains weak due to socio-economic realities and Western deterrence mismatches, limiting effective prosecution despite recent legislative reforms.

Relational Mentoring In Troubled Times, Fatima Suarez, Veronica Montes, Emir Estrada, Pierrette Hondagneu-Sotelo

Sociology Faculty Research and Scholarship

No abstract provided.

Risk Factors And Fraud Loss Magnitude: Informing Anti-Fraud Strategies, Robert Elias

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fraud research posits risk factors may be utilized to identify individuals who are predisposed to perpetrate fraud (ACFE 2024). I find perpetrators who exhibit the following risk factors result in statistically higher fraud losses: living beyond their means, excessive pressure to perform within the organization, having excessive control issues regarding their job, are reluctant to take vacations, have a “wheeler-dealer” attitude, or addiction problems. I further find perpetrators who exhibit risk factors which are likely to be observed in a work setting are more likely to result in higher fraud losses. However, perpetrators who exhibit risk factors which are more …

Legal Pathways To Professionalizing The Procurement Workforce For Good Governance To State Contracts: A Comparative Study, Karem Sayed Aboelazm, Fady Tawakol, Emad Ibrahim, Hanadi Sharif

All Works

This study addressed several concepts in the study’s conceptual framework, which were based on profession, professionalization, and professionalism in public procurement. It also discussed the importance of professionalizing public procurement functions and its impact on public procurement performance (Angaw, 2020). The study also aimed to analyze the most prominent global practices in raising the efficiency and capabilities of public procurement workers to reach complete professionalism in public procurement. The paper attempted to investigate the possibility of professionalism in public procurement and its effects on the good governance of state contracts. The paper relied on two basic research approaches, namely the …

Llm-Driven Apt Detection For 6g Wireless Networks: A Systematic Review And Taxonomy, Muhammed Golec, Yaser Khamayseh, Suhib Bani Melhem, Abdulmalik Alwarafy

All Works

Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates. However, despite the ultra-low latency, high throughput, and AI-assisted orchestration capabilities they promise, they are vulnerable to stealthy and long-term Advanced Persistent Threats (APTs). Large Language Models (LLMs) stand out as an ideal candidate to fill this gap with their high success in semantic reasoning and threat intelligence. This paper presents the first systematic review and taxonomy for LLM-assisted APT detection in 6G networks. It …

Streamlining Digital Elevation Model Construction From Historical Aerial Photographs: The Impact Of Reference Elevation Data On Spatial Accuracy, Xin Hong, Christopher H. Roosevelt

All Works

This study proposes a streamlined workflow for producing historical digital elevation models (hDEMs) from scanned 1950s aerial photographs using structure-from-motion and multi-view-stereo (SfM-MVS) techniques along with co-registration methods. We also conducted a sensitivity analysis to assess the impact of DEM references with varying spatial resolutions on the SfM-MVS process and co-registration accuracy. The DEM references included a 30 m SRTM DEM (low resolution), a 12 m TanDEM-X DEM (medium resolution), and a 5 m DEM provided by the General Directorate of Mapping of the Ministry of National Defense, Republic of T & uuml;rkiye (high resolution). Results indicate that higher resolution …

Science Education In The Age Of Misinformation, Elissar Gerges

All Works

No abstract provided.

Founder Worship, Effective Altruism, And Corporate Governance, Jennifer S. Fan, Xuan-Thao Nguyen

Law Faculty Research and Publications

Founders are the heart of any startup. Oftentimes, they are given considerable latitude in managing a company, particularly if they are hailed as a visionary founder in a pathbreaking new industry. Additionally, it is assumed that underpinning their actions is the desire to do good. Unfortunately, sometimes this leads to what we term founder worship where the promise of the founder and the innovation may lead to perverse outcomes because too much control is ceded to the founder and there is a lack (or sometimes complete absence of) corporate governance. When unlimited control is coupled with "do gooderism," which in …

Ai Innovations In Rppg Systems For Driver Monitoring: Comprehensive Systematic Review And Future Prospects, Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar

All Works

Advanced technologies, notably camera-based systems using remote photoplethysmography (rPPG), are increasingly used in automotive safety to non-invasively monitor driver well-being and fatigue by measuring physiological metrics like heart and respiration rates. This review examines recent advancements in machine learning algorithms and signal processing for rPPG in driver monitoring. A literature search up to April 2, 2024, across major databases, identified 344 studies; 29 were analyzed in depth, focusing on: 1) rPPG signal extraction and heart rate estimation, where deep learning improved accuracy; 2) fatigue detection, showing benefits of multimodal data fusion; 3) mental state monitoring, with machine learning classifying cognitive …