NSEA: A Resilient ERP Framework Integrating Quantum-Safe Cryptography and Neuro-Symbolic Reasoning for Industrial Adaptability

Modern enterprise resource planning (ERP) systems confront dual challenges in mitigating quantum computing vulnerabilities and managing dynamic supply chain disruptions. This study proposes a neuro-symbolic ERP architecture (NSEA) incorporating post-quantum cryptographic protocols to enable real-time cybersecurity and adaptive operational optimization. The framework integrates CRYSTALS-Kyber lattice-based encryption with hierarchical graph neural-symbolic reasoning, achieving sub-5μs encryption latency across industrial IoT (IIoT) sensor edge nodes while maintaining 98.3% threat detection accuracy in simulated cyber-physical attacks. Validated through multi-tier consumer electronics supply chain deployments, the system demonstrates 19.8% operational cost reduction and 40.7% faster disruption recovery versus SAP S/4HANA baselines, with optimized outcomes particularly observed in Air Conditioning inventory synchronization (standard deviation reduced from 28.4% to 9.1%) and cross-plant production coordination. A digital resilience entropy metric (DRE=0.87±0.03) derived from Kolmogorov-Sinai entropy principles quantifies system stability under concurrent security breaches and logistics interruptions. Backward compatibility testing confirms 92.4% interoperability with legacy SAP MM/PP modules through dedicated API translation layers, providing a risk-averse upgrade pathway for Industry 4.0 implementations.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3562739
Citations
2
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
3.01
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article

NSEA: A Resilient ERP Framework Integrating Quantum-Safe Cryptography and Neuro-Symbolic Reasoning for Industrial Adaptability

Yi-Chu Lin, Yong Lin
2 citations
IEEE Access
Computability, Logic, AI Algorithms
3.01
article

NSEA: A Resilient ERP Framework Integrating Quantum-Safe Cryptography and Neuro-Symbolic Reasoning for Industrial Adaptability

Yi-Chu Lin, Yong Lin
article en
2 citations

Abstract

Modern enterprise resource planning (ERP) systems confront dual challenges in mitigating quantum computing vulnerabilities and managing dynamic supply chain disruptions. This study proposes a neuro-symbolic ERP architecture (NSEA) incorporating post-quantum cryptographic protocols to enable real-time cybersecurity and adaptive operational optimization. The framework integrates CRYSTALS-Kyber lattice-based encryption with hierarchical graph neural-symbolic reasoning, achieving sub-5μs encryption latency across industrial IoT (IIoT) sensor edge nodes while maintaining 98.3% threat detection accuracy in simulated cyber-physical attacks. Validated through multi-tier consumer electronics supply chain deployments, the system demonstrates 19.8% operational cost reduction and 40.7% faster disruption recovery versus SAP S/4HANA baselines, with optimized outcomes particularly observed in Air Conditioning inventory synchronization (standard deviation reduced from 28.4% to 9.1%) and cross-plant production coordination. A digital resilience entropy metric (DRE=0.87±0.03) derived from Kolmogorov-Sinai entropy principles quantifies system stability under concurrent security breaches and logistics interruptions. Backward compatibility testing confirms 92.4% interoperability with legacy SAP MM/PP modules through dedicated API translation layers, providing a risk-averse upgrade pathway for Industry 4.0 implementations.

IEEE AccessVol. 13
Rutgers, The State University of New Jersey (US), Key Laboratory of Guangdong Province (CN), Guangdong Peizheng College
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Computability, Logic, AI Algorithms
3.01
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