Paper 2026/1341
A Modular Risk Assessment Module for Adaptive Cryptographic Selection in Q-OPSEC
, Universidad de Salamanca, Universidade do Vale do Rio dos Sinos, Universidad de Salamanca, Instituto Universitário de Lisboa, Universidad de SalamancaAbstract
This paper presents RiskService, a modular risk assessment module integrated into the Q-OPSEC adaptive AI middleware for quantum cryptography. A synthetic dataset covering 58 features across nine groups, including behavioral, device, network, authentication, and LLM-derived signals, feeds a training pipeline evaluating six model families under class-imbalanced conditions. LightGBM achieves the best performance, with AUC-ROC of 0.9895, average precision of 0.9344, and Brier score of 0.0421 at threshold 0.60, with inference latency of 1.8ms. Deployment benchmarks across three hardware tiers confirm feasibility under constrained resources: quantized XGBoost runs in 54.2ms on the ESP32 with AUC-ROC of 0.9112, enabling a two-tier architecture where edge nodes perform preliminary screening and forward ambiguous events for full-precision regime determination. Calibrated risk scores govern the selection among classical TLS1.3, post-quantum, and hybrid key derivation paths in the Q-OPSEC cryptographic layer.
Metadata
- Available format(s)
-
PDF
- Category
- Applications
- Publication info
- Preprint.
- Keywords
- adaptive cryptographyedge inferencefraud detectionpost-quantum securityrisk assessment
- Contact author(s)
-
darlannoetzold @ usal es
jbarbosa @ unisinos br
fcofds @ usal es
valderi leithardt @ iscte-iul pt - History
- 2026-07-02: approved
- 2026-06-30: received
- See all versions
- Short URL
- https://ia.cr/2026/1341
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2026/1341,
author = {Darlan Noetzold and Jorge L. V. Barbosa and Juan F. De Paz and Valderi R. Q. Leithardt},
title = {A Modular Risk Assessment Module for Adaptive Cryptographic Selection in Q-{OPSEC}},
howpublished = {Cryptology {ePrint} Archive, Paper 2026/1341},
year = {2026},
url = {https://eprint.iacr.org/2026/1341}
}
