Addressing Big Data, Critical Infrastructure, and Data Security in the Context of Smart Cities

  ABSTRACT : The rapid expansion of smart cities underscores the indispensable role of big data, secure infrastructure, and robust data security mechanisms in urban ecosystems. As cities increasingly depend on interconnected systems to optimize resource management, deliver real-time analytics, and enhance connectivity, safeguarding critical infrastructure and data privacy emerges as a pivotal challenge. This study systematically investigates the interplay between big data, critical infrastructure, and data security in smart city contexts. Utilizing a multifaceted methodology—including a systematic literature review, case studies of leading smart cities, expert interviews, and vulnerability assessments—this research provides a comprehensive understanding of the complexities involved. The analysis identifies both opportunities and vulnerabilities in infrastructures like transportation, energy, and communication networks. Insights from policy analysis and expert consultations inform strategies to mitigate cybersecurity threats, including the adoption of advanced encryption technologies, privacy-by-design frameworks, and public-private collaborations. By developing a theoretical vulnerability assessment framework and drawing on empirical evidence, this study contributes actionable recommendations for policymakers, urban planners, and technology developers. The findings aim to build resilient, secure, and sustainable smart cities, ensuring technological advancement aligns with robust data protection and critical infrastructure security. This holistic approach advances the resilience and trustworthiness of future urban cosystems.

Keywords -Big data analytics,Critical infrastructure,Resilient system,Smart cities, Urban innovation