International Journal of Scientific Research and Engineering Development

-The growing embedding of the Internet of Things (IoT) in day-to-day settings has given rise to largescale smart ecosystems—from smart homes to smart cities. With this connectivity come profound cybersecurity risks. The intersection of cybersecurity paradigms and data analytics in IoT designs is crucial for pre-emptive threat identification, guaranteeing resilience, and protecting user information. The present paper delves into the integration of these fields, drawing attention to frameworks, threat models, and data-centric methods that are molding the future of secure smart ecosystems.The ubiquitous adoption of Internet of Things (IoT) devices in everyday life has brought about considerable advantages and commensurate complex cybersecurity issues. With billions of devices networked across personal, industrial, and urban spaces, a huge digital ecosystem has come into being—one that provides vast efficiency and automation but also brings forth critical vulnerabilities. Such gadgets, frequently adopted in resource-limited settings, produce enormous amounts of mixed data and engage with cloud services, edge devices, and other devices in highly dynamic and decentralized systems.