Scholarlink

<p>The convergence of quantum-resistant blockchain networks with smart optimization and semantic knowledge representation is set to transform ERP-integrated e-commerce platforms. In this paper, we introduce a new architecture that combines Ring Learning With Errors (RLWE)-based post-quantum blockchain security, the Yak Optimization Algorithm (YOA) for dynamic resource allocation and block verification and Knowledge Graph Mining (KGM) for semantic transaction intelligence. Classical blockchain methods are now more and more susceptible to quantum attacks, especially for ERP systems with massive transactional interdependencies and highly sensitive data. RLWE is built on a solid cryptographic foundation, guaranteeing resilience against both classical and quantum models for decryption. The Yak Optimization Algorithm, on the other hand, brings dynamic consensus adjustment and ledger management through adjustment to changing network and business factors, surpassing swarm-based algorithms in convergence robustness and energy optimization. KGM supports real-time ontological mapping of ERP transaction metadata to reveal latent patterns, identify anomalies, and reason supply chain logic to the optimum. KGM is designed as a modular, layered stack hybrid framework that supports scalable plug-ins for ERP systems (such as SAP, Oracle, Odoo) and semantic agents. We assess the architecture on three real-world ERP-eCommerce integrations in retail, manufacturing, and logistics industries. Results indicate dramatic improvement in transaction validation time (32%), semantic anomaly detection correctness (41%), and energy cost savings (27%) compared to conventional blockchain systems. Hybrid adaptability and fault tolerance of the architecture ensure future-proof readiness in quantum computing environments. This work helps to establish a secured, smart, and performance-optimized groundwork for future-gen ERP-integrated commerce ecosystems.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Hybrid secured quantum blockchain knowledge mining architecture for ERP integrated e-commerce platforms

  • 期刊论文

  • 发表日期：

    2025年11月22日

查看全文
  • Kalaivani M,
  • Arasuraja Ganesan,
  • Rajapriya M,
  • Harita U

摘要

The convergence of quantum-resistant blockchain networks with smart optimization and semantic knowledge representation is set to transform ERP-integrated e-commerce platforms. In this paper, we introduce a new architecture that combines Ring Learning With Errors (RLWE)-based post-quantum blockchain security, the Yak Optimization Algorithm (YOA) for dynamic resource allocation and block verification and Knowledge Graph Mining (KGM) for semantic transaction intelligence. Classical blockchain methods are now more and more susceptible to quantum attacks, especially for ERP systems with massive transactional interdependencies and highly sensitive data. RLWE is built on a solid cryptographic foundation, guaranteeing resilience against both classical and quantum models for decryption. The Yak Optimization Algorithm, on the other hand, brings dynamic consensus adjustment and ledger management through adjustment to changing network and business factors, surpassing swarm-based algorithms in convergence robustness and energy optimization. KGM supports real-time ontological mapping of ERP transaction metadata to reveal latent patterns, identify anomalies, and reason supply chain logic to the optimum. KGM is designed as a modular, layered stack hybrid framework that supports scalable plug-ins for ERP systems (such as SAP, Oracle, Odoo) and semantic agents. We assess the architecture on three real-world ERP-eCommerce integrations in retail, manufacturing, and logistics industries. Results indicate dramatic improvement in transaction validation time (32%), semantic anomaly detection correctness (41%), and energy cost savings (27%) compared to conventional blockchain systems. Hybrid adaptability and fault tolerance of the architecture ensure future-proof readiness in quantum computing environments. This work helps to establish a secured, smart, and performance-optimized groundwork for future-gen ERP-integrated commerce ecosystems.