"PRISM-SE Human Vulnerability Survey Dataset: 1,294 Participant Responses on 35 Multi-Dimensional Social Engineering Susceptibili"

"This dataset contains anonymized survey responses from 1,294 participants (86% undergraduate students, supplemented by smaller professional cohorts in finance, IT, and graduate studies) collected to quantify human vulnerability to social engineering attacks. The survey instrument comprises 35 indicators organized into five dimensions: Information Exposure (D1), Technology Dependency (D2), Psychological Susceptibility (D3), Contextual Pressures (D4), and Behavioral Patterns (D5). Each response is normalized to a [0,1] scale, where higher values denote greater susceptibility. The data are provided in CSV format with 37 columns: two metadata fields (timestamp, participant profile) and 35 numerical vulnerability scores. This dataset supports the development and validation of probabilistic risk models, security awareness benchmarking, and global sensitivity analysis of human-centric cybersecurity factors. It is particularly suited for researchers investigating quantitative human risk assessment, social engineering defense prioritization, and behavioral security analytics."