Post-quantum cryptography (PQC) is becoming essential for securing Internet of Things (IoT) and Industrial IoT (IIoT) systems against quantum-enabled adversaries. However, existing evaluation approaches primarily focus on isolated performance metrics, offering limited support for holistic security and deployment decisions. This paper introduces QERS (Quantum Encryption Resilience Score), a universal measurement framework that integrates cryptographic performance, system constraints, and multi-criteria decision analysis to assess PQC readiness in computer, IoT, and IIoT environments. QERS combines normalized metrics, weighted aggregation, and machine learning-assisted analysis to produce interpretable resilience scores across heterogeneous devices and communication protocols. Experimental results demonstrate how the framework enables comparative evaluation of post-quantum schemes under realistic resource constraints, supporting informed security design and migration planning. This work is presented as a preprint, with extended statistical validation planned as part of ongoing graduate research.

翻译：后量子密码学（PQC）对于保护物联网（IoT）和工业物联网（IIoT）系统免受量子赋能攻击者的威胁正变得至关重要。然而，现有的评估方法主要关注孤立的性能指标，对整体安全性和部署决策的支持有限。本文提出QERS（量子加密韧性评分），这是一个集成密码学性能、系统约束和多准则决策分析的通用度量框架，用于评估计算机、物联网及工业物联网环境中的PQC就绪度。QERS结合归一化指标、加权聚合以及机器学习辅助分析，为异构设备和通信协议生成可解释的韧性评分。实验结果表明，该框架能够在实际资源约束下对后量子方案进行对比评估，从而为明智的安全设计与迁移规划提供支持。本工作以预印本形式发布，扩展的统计验证计划作为持续研究生研究的一部分进行。