Analyzing the impact of quantum computing on IoT security using computational based data analytics techniques

The Internet of Things (IoT) market is experiencing exponential growth, with projections increasing from 15 billion dollars to an estimated 75 billion dollars by 2025. Quantum computing has emerged as a key enabler for managing the rapid expansion of IoT technology, serving as the foundation for quantum computing support. However, the adoption of quantum computing also introduces numerous privacy and security challenges. We delve into the critical realm of quantum-level security within a typical quantum IoT. To achieve this objective, we identified and precisely analyzed security attributes at various levels integral to quantum computing. A hierarchical tree of quantum computing security attributes was envisioned, providing a structured approach for systematic and efficient security considerations. To assess the impact of security on the quantum-IoT landscape, we employed a unified computational model based on Multi-Criteria Decision-Making (MCDM), incorporating the Analytical Hierarchy Process (AHP) and the Technique for Ordering Preferences by Similarity to Ideal Solutions (TOPSIS) within a fuzzy environment. Fuzzy sets were used to provide practical solutions that can accommodate the nuances of diverse and ambiguous opinions, ultimately yielding precise alternatives and factors. The projected undertaking was poised to empower practitioners in the quantum-IoT realm by aiding in the identification, selection, and prioritization of optimal security factors through the lens of quantum computing.