J. L. V. Barbosa

Adaptive Quantum-Classical Cryptographic Selection: An RL-Based Architecture for DN25

We present Q-OPSEC, an adaptive middleware that uses supervised, unsupervised and reinforcement learning to select cryptographic strategies from classical, post-quantum and quantum-assisted (QKD) options. The selection is modeled as a multi-objective MDP that balances security, latency, computational and energy cost, a...