# IoT Anomaly Detection to Strengthen Cybersecurity in the Critical Infrastructure of Smart Cities  
[PERSON] for updates  
++  
including cyberattacks, equipment malfunctions, and natural disasters. The consequences of these threats can range from service interruptions to significant economic losses and even threats to human lives. Therefore, the ability to identify and mitigate anomalies in real-time becomes not only a technological aspiration but a critical need. This work delves into the critical role that anomaly detection models play in IoT-enabled smart cities and evaluates their effectiveness in reinforcing the safety and efficiency of urban systems [5]. To fulfill this purpose, research has been carried out covering the applicability of anomaly detection models in various urban scenarios. Furthermore, its performance is rigorously evaluated and juxtaposed with existing approaches, comprehensively assessing its effectiveness. Again, a comprehensive analysis of the strengths and limitations of these models is performed, accompanied by a visual presentation of the comparative results [6]. This work deepens the understanding of how IoT-enabled anomaly detection models can significantly contribute to the safety and efficiency of smart cities. This contribution creates a safer and more efficient urban environment for citizens, allowing real-time anticipation and resolution of critical problems [7; 8]. The relevance of this study contributes to the context of the existing literature on smart cities, emphasizing the importance of promoting research that supports the evolution of these advanced urban environments. As the world becomes increasingly urbanized, developing and implementing robust anomaly detection mechanisms within smart cities is desirable and essential for urban populations' continued progress and well-being. The concept of smart cities has evolved in response to the challenges posed by rapid urbanization, resource constraints, and increasing demand for efficient public services. Traditional cities often face traffic congestion, pollution, misallocation of resources, and insufficient infrastructure. Smart cities have emerged as a visionary solution to address these urban dilemmas by harnessing the potential of technology and data-driven insights. The evolution of smart cities dates to the \"digital city\" concept and the application of information and communication technologies (ICT) to urban management [9]. The first efforts focused on improving administrative processes and public services through digitalization. Over time, the concept evolved into the broader and more ambitious vision of a smart city, integrating various areas such as transportation, energy, healthcare, and education, with an emphasis on sustainability and the well-being of citizens. The IoT has become a fundamental enabler of smart cities, serving as a hub that connects urban life's physical and digital realms [10]. IoT involves embedding sensors, actuators, and connectivity into everyday objects and infrastructure, allowing them to collect, exchange, and act on data. IoT devices are ubiquitous in smart cities, encompassing smart meters, traffic sensors, environmental monitors, surveillance cameras, and more. These IoT devices form a vast, interconnected network that continuously collects data from urban environments. This data is transmitted to central platforms, where it is processed, analyzed, and transformed into actionable information. The real-time nature of IoT data allows cities to monitor, manage, and respond to various urban challenges dynamically. However, the widespread adoption of IoT in smart cities also introduces new challenges and vulnerabilities. The sheer volume of data IoT devices generate can overwhelm existing data management systems. Ensuring the security and privacy of this data is paramount, as any breach can have serious consequences, including the compromise of critical infrastructure and sensitive citizen information.