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Post-Quantum Migration Control Planes: Byzantine Compromise Assumptions and Recovery Paths

A formal engineering analysis of post-quantum infrastructure with emphasis on byzantine compromise assumptions and recovery paths and adversarial operational constraints.

Jun 04, 2023 · Post-Quantum Infrastructure · 11 min

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Article Briefing

Context

Post-Quantum Infrastructure programs require explicit control boundaries across post-quantum, pki, cryptography under adversarial and degraded-state operation.

Prerequisites

  • Post-Quantum Infrastructure architecture baseline and boundary map.
  • Defined failure assumptions and incident response ownership.
  • Observable control points for verification during deployment and runtime.

When To Apply

  • When post-quantum infrastructure directly affects authorization or service continuity.
  • When single-component compromise is not an acceptable failure mode.
  • When architecture decisions must be evidence-backed for audits and operational assurance.

Abstract

This article analyzes post-quantum infrastructure through a systems lens focused on byzantine compromise assumptions and recovery paths. The objective is to maintain correctness and control retention under adversarial conditions rather than optimize only nominal throughput.

System Model

Let the operational state evolve according to:

P={(ai,τi,si)}i=1m,si{legacy,hybrid,pq}\mathcal{P} = \{(a_i, \tau_i, s_i)\}_{i=1}^{m},\quad s_i \in \{\text{legacy},\text{hybrid},\text{pq}\}

The design target is explicit: algorithm transitions proceed with reversible checkpoints and evidence trails. Architecture and operations are evaluated jointly because cryptographic controls are ineffective when operational boundaries collapse.

Adversarial and Fault Assumptions

The deployment model assumes compromise attempts, partial outages, delayed communication, and operator error under time pressure. For this reason, the control model uses the following risk constraint:

n3f+1,quorum=2f+1,f<tn \ge 3f + 1,\quad \text{quorum} = 2f + 1,\quad f < t

A design is considered acceptable only when the bound remains stable across degraded-state simulations and replay validation. For traceability, the state transition relation is formalized in Eq. (1), while operational risk constraints are tracked through Eq. (2).

Protocol and Control Logic

A minimal implementation pattern is shown below. The structure emphasizes deterministic gating and explicit failure handling.

interface PolicyStage {
  service: string;
  stage: "legacy" | "hybrid" | "pq";
  rollbackReady: boolean;
}

export function migrationGate(stage: PolicyStage): boolean {
  return stage.stage !== "pq" || stage.rollbackReady;
}

Runtime policy should block any transition where control preconditions are absent, even when pressure exists to prioritize speed.

Operational Independence

Cryptographic and protocol properties are valid only when operational dependencies are separated. Control surfaces should be distributed across independent IAM scopes, deployment pipelines, and key-management boundaries.

Mathematical Risk Budget

A practical risk budget can be tracked as:

Pr[unsafe commit]ϵproto+ϵops\Pr[\text{unsafe commit}] \le \epsilon_{proto} + \epsilon_{ops}

This metric should be evaluated at release boundaries and incident transitions to detect silent erosion of safeguards. During review, policy and telemetry evidence should be mapped back to Eq. (2).

Practical Guidance

  1. Separate compromise detection from compromise containment in incident playbooks.
  2. Establish quorum policies that remain valid when one region is unavailable.
  3. Rebuild trust state from signed evidence rather than mutable operational memory.

Conclusion

Post-Quantum Infrastructure programs fail when architecture and operations are treated as separate concerns. A defensible system requires formal constraints, explicit control gates, and regular adversarial verification tied to production workflows.

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