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 crypto-graphic 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.
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Q-OPSEC: An Architecture Proposal for Adaptive AI Middleware for Quantum Cryptography
Semantic Scholar · 2025
Abstract
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 crypto-graphic 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.