Enhancing Cybersecurity Awareness Through Real-World Case Studies: A Data Driven Evaluation of Training Effectiveness

Abstract

Social engineering attacks have emerged as a dominant threat vector, bypassing technical defenses by exploiting human behavior. The study evaluates the effectiveness of real-world case study integration in cybersecurity training to strengthen awareness and user response. A mixed-methods approach, incorporating data-driven and scenario-based methodologies, was employed to measure user engagement, knowledge retention, and behavior change. Findings indicate that real case presentations significantly outperform traditional training by fostering deeper engagement, improving long-term awareness, and strengthening the human element in cybersecurity defense. The study contributes an adaptive, scalable educational framework that leverages real-world cases, interactive methods, and forward-looking technologies such as AI-driven simulations and behavior monitoring tools. Additionally, the proposed model aligns with evolving workforce competencies sought by public and private sector employers, offering a relevant, industry-informed solution to cybersecurity education. Integrating behavioral insights, real-world dynamics, and emerging technologies provides an innovative approach to preparing users to confront increasingly intricate cyber threats. Keywords - Cybersecurity Awareness, Experiential Learning, Threat Recognition, Workforce Competencies.