• A Network Anomaly Detection Model for Threat Detection using Decision Trees 

  Wahome, Dennis Mugi (United States International University-Africa, 2025)

  This study aimed to develop and evaluate an interpretable network anomaly detection model based on Decision Tree (CART) algorithm to enhance threat detection in modern network environments. The general objective was to ...
• Securing Agentic AI in Healthcare by Balancing Technical Robustness and Regulatory Compliance 

  Opiyo, Alex Sebastian (United States International University-Africa, 2025)

  The rapid adoption of agentic artificial intelligence (AI) in healthcare, particularly in diagnostics and treatment planning, has heightened concerns about vulnerabilities to indirect prompt injections, where malicious ...
• Explainable AI for Maize Yield Prediction in Kenya: Translating Black-Box Accuracy into Actionable Insights 

  Kinoti, Kenneth Kimathi (United States International University-Africa, 2025)

  Maize yield prediction is critical for food security planning in Kenya. Traditional forecasting methods are not as effective as predictive models, but the models in use lack the interpretability necessary for actionable ...
• An Adaptive Window Z-score Method for Anomaly Detection in Distributed Systems 

  Mairanga, Gloria Ngendo (United States International University-Africa, 2025)

  The increasing reliance on distributed systems has amplified the need for efficient and adaptive anomaly detection mechanisms. Conventional fixed window statistical approaches have encountered difficulties in managing ...
• An Experimental Approach to Enhancing Mobile Cyber Threat Mitigation in Kenya Using XGBoost-Driven Security Orchestration, Automation, and Response (SOAR)  

  Mureti, Bovet (United States International University-Africa, 2025)

  Kenya’s mobile-driven digital economy, processing over KES 40 trillion annually through mobile money, is severely threatened by escalating cyber-attacks, with 4.5 billion malicious events detected in Q2 2025 alone and ...
• Predicting Learner Disengagement in E-Learning: A Hybrid Cox Proportional Hazards and K-Means Clustering Model for Timely Interventions 

  Murikah, Wilberforce Levixus (United States International University-Africa, 2025)

  Disengagement of learners is a problem in e-learning, and many systems have adopted machine learning models to predict learner dropout. While these models successfully identify who is likely to drop out, they provide binary, ...
• Addressing Nuanced Needs in Assistive Technology: A Framework for Inclusive Digital Services 

  Macharia, Caroline Wanjiku (United States International University-Africa, 2025)

  The research presents a framework proposal that integrates nuanced user needs with assistive technology (AT) on digital services to boost accessibility options for people with disabilities across Kenya. Numerous individuals ...
• Transforming Cloud Security Models from Legacy to Zero-Trust in Kenyan Financial Institutions using Machine Learning to Address Modern Threats 

  Shilwatso, Enid (United States International University-Africa, 2025)

  Kenya’s financial sector suffers annual cyber fraud losses exceeding KSh 20 billion, driven by weak identity management, insecure APIs, and inadequate real-time monitoring in cloud environments. Legacy perimeter-based ...
• A Framework for the Adoption of Generative Artificial Intelligence in IT Service Management in the Kenya Banking Sector 

  Thuo, Eddah (United States International University-Africa, 2025)

  This study investigates the adoption of Generative Artificial Intelligence (GenAI) in IT Service Management (ITSM) within Kenya's banking sector, addressing global trends of rapid GenAI investment amid local challenges ...
• A Framework for Enhancing Quality Assurance in Software Development: A Case Study of the Tech Industry in Nairobi County, Kenya 

  Nyakagwa, Fred O. (United States International University-Africa, 2025)

  Software Quality Assurance (SQA) is essential for developing reliable, secure, and user-friendly software. Nairobi County’s growing tech industry, known for its innovation, faces unique challenges in maintaining high ...
• Design and Evaluation of Distributed Tracing System for Addressing and Monitoring Challenges for Nairobi SMEs. 

  Kamau, Ken Dennis Kinyua (United States International University-Africa, 2025)

  This study examined the adoption of distributed tracing as a system monitoring solution for Small and Medium Enterprises (SMEs) in Nairobi, Kenya, addressing the persistent problem of limited visibility, slow fault isolation, ...
• A Trust-Mediated Deepfake Detection Evaluation Model for Professional Assessments in Digital Forensics 

  Shigoli, Raymond Musumba (United States International University-Africa, 2025)

  This study developed and validated a trust-mediated deepfake detection evaluation model addressing critical challenges in digital evidence authentication. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), ...
• Health Information Exchange Systems for Enhanced in Teroperability and Fraud Prevention in Kenya : A Design Science Aproach, 

  Mugoh, Bellas N. (United States International University-Africa, 2025)

  This study addressed persistent interoperability, security, and fraud challenges in Kenya’s fragmented healthcare information ecosystem, where disparate Electronic Health Record (EHR) and Electronic Medical Record (EMR) ...
• An Assessment of Factors Influencing Inadvertent Insider Exposure to Macros-Based Phishing Attacks 

  Kodo, Caleb O. (United States International University-Africa, 2025)

  Macro-malware delivered through phishing emails continues to pose a major cybersecurity threat, frequently exploiting inadvertent insiders within organizations. This study, grounded in the Theory of Planned Behavior (TPB), ...
• Augmented Reality Framework for Enhanced Interaction and Engagement in Online Higher Learning Institutions in Kenya 

  Ndung'u, Peter K. (United States International University-Africa, 2025)

  The use of an Augmented Reality (AR) in online learning platforms has the potential to revolutionize the process of teaching and learning. Its successful implementation, however, depends on the interplay of factors that ...
• A Framework for Intelligent Road Safety Management to Mitigate Road Accidents in Kenya 

  Njoroge, Sylvia Wangari (United States International University-Africa, 2025)

  Road traffic accidents remain one of the leading causes of morbidity and mortality in Kenya, with human behavior, vehicle conditions, and environmental factors being key contributors (WHO, 2023; NTSA, 2022). Despite numerous ...
• A Framework for Evaluation of the Return on Investment (Roi) on Cloud Computing Adoption among Smes in Nairobi. 

  Juma, Jude (United States International University-Africa, 2025)

  Cloud computing holds immense promise for Small and Medium-sized Enterprises (SMEs) in emerging economies, offering enhanced scalability, agility, and operational efficiency. However, many SMEs lack a structured methodology ...
• Determinants of Adopting Emerging Cloud Information Security Strategies in Kenya's Local Payment Service Provider-Related Institutions 

  Oundo, Miriam Awino (United States International University-Africa, 2025)

  This study investigates factors influencing the adoption of cloud information security strategies by Kenyan payment service providers, focusing on technological readiness, organizational factors, and external factors. It ...
• A Framework to Secure Mobile Online Transactions on E-Commerce Platforms: Case Study of Jumia, Kenya 

  Kagwiria, Betty (United States International University-Africa, 2025)

  Mobile commerce has become a crucial driver of e-commerce growth in Kenya, enabling convenient digital transactions through online platforms such as Jumia. As mobile transactions increase, so does the risk of security ...
• Automated Threat Response Framework for Mobile Device Security Management 

  Kariuki, Caroline N. (United States International University-Africa, 2025)

  The increasing reliance on mobile devices in organizational and personal contexts has amplified the risk of cyber threats targeting mobile ecosystems. Despite the existence of Mobile Device Security Management (MDSM) ...

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