AI-Enabled Cybersecurity for IoT and Smart City Applications

AI-driven cybersecurity is crucial to enhancing the resilience of the Internet of Things (IoT) and smart city ecosystems. Due to the dynamic and heterogeneous nature of IoT devices, these interconnected networks have become an integral part of urban infrastructure. Using artificial intelligence, particularly machine learning algorithms, enables proactive threat detection, anomaly identification, and rapid response to emerging cyber risks. The AI models can adapt to evolving attack vectors, analyze the massive streams of data generated by the Internet of Things (IoT), and distinguish normal patterns from potential security breaches. The transformative approach not only mitigates known threats but also uncovers new vulnerabilities in smart city applications. Overall, AI-driven cybersecurity protects IoT and smart city infrastructures against sophisticated cyber threats by continuously learning and evolving, thereby fostering a secure and resilient urban digital landscape.