aiqbench analysis
This research addresses the critical resource allocation challenge in migrating distributed systems to quantum-safe cryptography, specifically where Quantum Key Distribution (QKD) hardware is scarce. The proposed WLPA framework optimizes network-wide security by ensuring no single link becomes a vulnerability, outperforming standard per-link heuristics that ignore the "weakest link" effect. It provides an efficient algorithm for assigning limited quantum-safe postures across large-scale networks under realistic constraints like latency and cost variations.
WLPA: A Network Management Framework for Allocating Scarce Quantum-Safe Link Postures under Weakest-Link Exposure
arXiv:2610.04897v1 Announce Type: cross Abstract: Network operators migrating distributed systems to post-quantum and quantum-safe cryptography face a resource-management problem: quantum key distribution (QKD) gives the strongest guarantee available but is hardware-scarce and costly, so only a fraction of a deployment's links can receive it. Default practice -- ranking links by traffic or centrality and upgrading the top scorers -- optimizes each link in isolation, while a distributed job's real security is set by whichever active link ends up weakest. We present WLPA (Weakest-Link Posture Assignment), an implementation-ready decision framework and algorithm for allocating scarce quantum-safe postures under hardware, latency, and compliance constraints. WLPA computes the optimal weakest-link posture in closed form and returns an assignment in O(|E| log |E|) time -- 125 ms for a 20,000-link network on a laptop -- with a breach-aware refinement matching an exact integer program under common conditions. Our central contribution is a dichotomy telling operators exactly when existing per-link heuristics already match this optimum and when they systematically fail: under constant upgrade cost and uniform traffic-driven risk the two coincide exactly; once costs vary or an adversary concentrates on weak targets, heuristics leave the weakest link unprotected, unboundedly. We validate WLPA across 19 experiments: four microservice topologies, a real enterprise network (SNAP email-Eu-core), a post-quantum latency benchmark, a Qiskit BB84 simulation and a real-hardware BB84 run on IBM's ibm_marrakesh processor, checks against real production traffic traces, a CVE-calibrated correlated-compromise study, Bayesian uncertainty quantification, and seven baseline methods. A concrete-security reduction grounds the framework as theoretical foundation, not primary contribution.
Abstract:Network operators migrating distributed systems to post-quantum and quantum-safe cryptography face a resource-management problem: quantum key distribution (QKD) gives the strongest guarantee available but is hardware-scarce and costly, so only a fraction of a deployment's links can receive it. Default practice -- ranking links by traffic or centrality and upgrading the top scorers -- optimizes each link in isolation, while a distributed job's real security is set by whichever active link ends up weakest. We present WLPA (Weakest-Link Posture Assignment), an implementation-ready decision framework and algorithm for allocating scarce quantum-safe postures under hardware, latency, and compliance constraints. WLPA computes the optimal weakest-link posture in closed form and returns an assignment in O(|E| log |E|) time -- 125 ms for a 20,000-link network on a laptop -- with a breach-aware refinement matching an exact integer program under common conditions. Our central contribution is a dichotomy telling operators exactly when existing per-link heuristics already match this optimum and when they systematically fail: under constant upgrade cost and uniform traffic-driven risk the two coincide exactly; once costs vary or an adversary concentrates on weak targets, heuristics leave the weakest link unprotected, unboundedly. We validate WLPA across 19 experiments: four microservice topologies, a real enterprise network (SNAP email-Eu-core), a post-quantum latency benchmark, a Qiskit BB84 simulation and a real-hardware BB84 run on IBM's ibm_marrakesh processor, checks against real production traffic traces, a CVE-calibrated correlated-compromise study, Bayesian uncertainty quantification, and seven baseline methods. A concrete-security reduction grounds the framework as theoretical foundation, not primary contribution.
Cryptography and Security (cs.CR); Quantum Physics (quant-ph)
arXiv:2610.04897 [cs.CR]
(or arXiv:2610.04897v1 [cs.CR] for this version)
https://doi.org/10.48550/arXiv.2610.04897 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
code/README_pqc_benchmark.md
code/original_four_architecture_pipeline/README.md
code/original_four_architecture_pipeline/extra.py
code/original_four_architecture_pipeline/reproduce_N11_N9_R11.py
code/original_four_architecture_pipeline/run_experiments.py
code/original_four_architecture_pipeline/verify.py
code/original_four_architecture_pipeline/wlpa/__init__.py
code/original_four_architecture_pipeline/wlpa/algorithms.py
code/original_four_architecture_pipeline/wlpa/breach.py
code/original_four_architecture_pipeline/wlpa/casestudy.py
code/original_four_architecture_pipeline/wlpa/generators.py
code/original_four_architecture_pipeline/wlpa/hardness.py
code/original_four_architecture_pipeline/wlpa/klevel.py
code/original_four_architecture_pipeline/wlpa/model.py
code/original_four_architecture_pipeline/wlpa/resilience.py
code/original_four_architecture_pipeline/wlpa/stats.py
code/pqc_benchmark.py
code/pqc_benchmark_results.json
code/run_real_topology.py
quantum_circuits_full/QC10_wlpa_allocation.png
quantum_circuits_full/QC1_bb84_z_match.png
quantum_circuits_full/QC2_bb84_x_match.png
quantum_circuits_full/QC3_bb84_mismatch.png
quantum_circuits_full/QC4_bb84_eavesdropper.png
quantum_circuits_full/QC5_bb84_noisy.png
quantum_circuits_full/QC6_bb84_session.png
quantum_circuits_full/QC7_privacy_amplification.png
quantum_circuits_full/QC8_e91_entanglement.png
quantum_circuits_full/QC9_qrng_8bit.png
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