Strategic Insights and Trends in Population Data Security for Urban Demography in Smart Cities

This study examines how scholarship on population data security has evolved within urban demography and smart city research. Using a scientometric and bibliometric design, the study analyzed Scopus-indexed publications from 2014 to 2023 with RStudio/Bibliometrix and CiteSpace to map publication growth, international collaboration, keyword trends, citation bursts, conceptual clusters, and thematic evolution. The findings show rapid publication growth, with a marked increase in 2023, and identify China, India, and the United States as major collaboration hubs. Topic mapping indicates a shift from general smart city and Internet of Things security concerns toward blockchain, machine learning, privacy by design, advanced analytics, and decentralized data governance. The conceptual structure reveals three interconnected knowledge clusters: information security governance, technical cybersecurity implementation, and urban infrastructure management. This study contributes to population and social studies by clarifying how data protection, demographic governance, and digital urban infrastructure intersect in smart city development. Rather than proposing a new framework, it synthesizes the intellectual structure of the field and offers evidence-based insights for strengthening privacy protection, institutional coordination, and adaptive cybersecurity governance in future smart cities.

Conceptual framework · Corporate governance · Field (mathematics) · Population · Scholarship · Smart city · Social security · The Internet · COVID-19 Digital Contact Tracing · Human Mobility and Location-Based Analysis · Smart Cities and Technologies