Authors: Prisha Malviya
Abstract: The rapid proliferation of Internet of Things (IoT) devices, coupled with the high-performance analytical capabilities of Cloud Computing, has created an interdependent ecosystem that relies heavily on wireless network infrastructures. However, this integration introduces significant security vulnerabilities, as the broadcast nature of wireless communication leaves data susceptible to jamming, eavesdropping, and sophisticated man-in-the-middle attacks. This review article systematically investigates the current landscape of Risk-Aware Cloud Computing Frameworks designed to secure IoT communications. We propose a multi-dimensional taxonomy that categorizes these frameworks based on their architectural distribution (Cloud-to-Edge), their risk-assessment methodologies (Probabilistic vs. AI-driven), and their decision-making logic (Reactive vs. Proactive). The article provides a deep dive into the "Resource-Security Paradox," analyzing how risk-aware models optimize the trade-off between cryptographic overhead and device longevity. Furthermore, we provide a comparative analysis of state-of-the-art frameworks, evaluating them against key performance metrics such as detection accuracy, latency, and energy efficiency. Significant attention is given to the role of Software-Defined Networking (SDN) and Trust Management Systems in providing real-time mitigation of wireless threats. Finally, the article identifies critical research gaps and discusses emerging trends, including Zero Trust Architectures (ZTA), Quantum-Resistant Cryptography, and the impact of 6G on IoT security. This review aims to provide a comprehensive reference for researchers and practitioners working to build resilient, self-adaptive security infrastructures for the future of the interconnected world.
DOI: http://doi.org/10.5281/zenodo.18159497
