Cybersecurity Ethics and Data Leakage: A Case Study of Google Dorking in East Java's Class B Public Hospitals

Overview This dataset is part of a cybersecurity case study focused on public hospitals (Class B) in East Java, Indonesia, specifically analyzing their exposure to data leakage via Google Dorking techniques. The research investigates ethical considerations, risk severity, and common vulnerabilities in the healthcare sector. Files Included List of Hospital.xlsx : Contains a list of Class B public hospitals in East Java. List of Query.xlsx : A collection of Google Dork queries used to simulate reconnaissance activities. Risk Assessment.xlsx : Assessment results of how many dorks triggered a hit on each hospital and the severity level. Risk Parameter.xlsx : Defines the criteria used to assess and categorize the risk severity. Heat Map.png : A bubble heatmap visualizing the distribution of risk ratings. X-axis: Risk code (R1–R15). Y-axis: Frequency of risk occurrences. Bubble size: Proportional to number of hospitals affected. Color gradient: Indicates increasing severity. Key Features Ethical analysis: This dataset is built to support studies in cybersecurity ethics, particularly around public data exposure without breaching systems. Passive reconnaissance only: All data was obtained via open-source methods (OSINT) and public search engine indexing—no active intrusion or exploitation. Mapped risks: Each dork query's effect was mapped onto a risk code (R1–R15) for cross-hospital comparison. Quantitative risk levels: Uses a structured risk matrix with impact and likelihood to assign severity (e.g., R4 = 16, R9 = 24). Ethical Considerations No real exploitation: Only publicly indexed data was used. Anonymization: No sensitive personal or health data is disclosed. Purpose: Educational and awareness-based research to encourage better data hygiene in public institutions. Suggested Use Cases Academic research on cybersecurity in healthcare Teaching material for IT ethics and digital reconnaissance Risk modeling and visualization projects Policy analysis for public digital infrastructure