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Noetzold, D., Barbosa, J., Santana, J. &  Leithardt, V (2025). Q-OPSEC: An architecture proposal for adaptive AI middleware for quantum cryptography. In Proceedings  of International Conference on Electrical and Computer Engineering Researches (ICECER 2025) . Antananarivo, Madagascar: IEEE.

D. Noetzold et al.,  "Q-OPSEC: An architecture proposal for adaptive AI middleware for quantum cryptography", in Proc.  of Int. Conf. on Electrical and Computer Engineering Researches (ICECER 2025) , Antananarivo, Madagascar, IEEE, 2025

@inproceedings{noetzold2025_1779604616537,
	author = "Noetzold, D. and Barbosa, J. and Santana, J. and  Leithardt, V",
	title = "Q-OPSEC: An architecture proposal for adaptive AI middleware for quantum cryptography",
	booktitle = "Proceedings  of International Conference on Electrical and Computer Engineering Researches (ICECER 2025) ",
	year = "2025",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICECER65523.2025.11401311",
	publisher = "IEEE",
	address = "Antananarivo, Madagascar",
	organization = "",
	url = "https://ieeexplore.ieee.org/abstract/document/11401311"
}

TY  - CPAPER
TI  - Q-OPSEC: An architecture proposal for adaptive AI middleware for quantum cryptography
T2  - Proceedings  of International Conference on Electrical and Computer Engineering Researches (ICECER 2025) 
AU  - Noetzold, D.
AU  - Barbosa, J.
AU  - Santana, J.
AU  -  Leithardt, V
PY  - 2025
DO  - 10.1109/ICECER65523.2025.11401311
CY  - Antananarivo, Madagascar
UR  - https://ieeexplore.ieee.org/abstract/document/11401311
AB  - 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
ER  -