Authors: Sasikanth Reddy Mandati
Abstract: The rapid proliferation of cloud-enabled Internet of Things (IoT) systems has transformed modern infrastructure, enabling real-time data collection, intelligent automation, and interconnected services across domains such as smart cities, healthcare, and industrial IoT. However, the increasing complexity and interdependence of these systems also expose them to invisible risks latent, cascading, and systemic vulnerabilities that are often overlooked by conventional risk management approaches. This paper presents a comprehensive IT risk management framework designed to detect, assess, and mitigate such hidden risks in cloud-enabled IoT environments. The framework integrates real-time data analytics, anomaly detection, and proactive mitigation strategies to improve system resilience and operational reliability. A case study in a smart city scenario demonstrates the framework’s effectiveness, showing significant improvements in risk coverage, mitigation efficiency, and stakeholder confidence compared to baseline methods. The results highlight the critical importance of addressing invisible risks to ensure secure, reliable, and resilient IoT-enabled systems.
DOI: https://doi.org/10.5281/zenodo.17999954
