Artificial Intelligence-Driven Solutions for Privacy and Security in Smart City Data Management Systems for Smart Cities

In addition to traffic management, energy, education, healthcare, and urban development, smart city applications generate significant amounts of data. Real-time monitoring and analysis of urban events is possible due to the continuous production of this data. Nevertheless, reliable and efficient data management resources are necessary in order to utilize all this information effectively. A comprehensive review of the role that data management systems play in smart city environments is presented in this paper, emphasizing the importance of advanced methodologies for ensuring data integrity, privacy, and security. In this article, we examine the challenges posed by privacy threats stemming from sensitive data exchanges, explain the inadequacies of current privacy measures, and analyze AI's implications for handling data. Based on an indepth analysis, the study demonstrates the importance of integrating robust data management strategies into smart city development in order to facilitate informed decision-making and enhance service delivery.