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Publication Detailed Description
Q-OPSEC: An architecture proposal for adaptive AI middleware for quantum cryptography
Proceedings of International Conference on Electrical and Computer Engineering Researches (ICECER 2025)
Year (definitive publication)
2025
Language
English
Country
United States of America
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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 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
Acknowledgements
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Keywords
Artificial intelligence,Reinforcement learning,Security,Quantum cryptography,Data privacy,Smart environments,Middleware
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Other Engineering and Technology Sciences - Engineering and Technology
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UIDB/04466/2025 | Fundação para a Ciência e a Tecnologia |
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