Machine Learning- and Quantum-Inspired Framework for Security Resource Management in IoT and Vehicular Edge Computing

A machine learning- and quantum-inspired framework for security resource management in IoT and vehicular edge computing.

A machine learning- and quantum-inspired framework for security resource management in IoT and vehicular edge computing. As a reference project it shows how a system like this is put together in practice, which parts matter and how they are tested, so that a developer can learn from it and build on it.

It suits learners who want to understand networks and cloud systems: building or simulating the environment, measuring performance and comparing approaches.

The main parts are a simulated or deployed environment, the algorithm or mechanism being studied, performance measurement against baselines, and charts that compare the results. The reference build uses Qiskit, Docker, Python, Linux, and Prometheus, with a clear project structure, setup instructions and sample data so that it can be run and extended.