Q-OPSEC is a proposed adaptive middleware architecture that integrates the strengths of the Oraculum and PRISEC models, now enhanced with quantum cryptography. Leveraging artificial intelligence-including supervised, unsupervised, and reinforcement learning-Q-OPSEC autonomously analyzes contextual information and dynamically selects cryptographic strategies. The architecture incorporates both classical and quantum-safe methods, such as Quantum Key Distribution (QKD) and post-quantum cryptographic (PQC) algorithms, to address current and emerging security threats. Designed as a plug-and-play solution for heterogeneous IoT and smart environments, Q-OPSEC adapts encryption strength and security policies in real time based on risk assessment and system context, aiming to fill critical gaps in context-aware and future-oriented data protection. Keywords—Artific

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Artificial intelligence,Reinforcement learning,Security,Quantum cryptography,Data privacy,Smart environments,Middleware

• Ciências da Computação e da Informação - Ciências Naturais
• Outras Engenharias e Tecnologias - Engenharia e Tecnologia
• Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia