A Novel Complex Event Mining Network for RFID-Enable Supply Chain Information Security

  • Authors:
  • Tao Ku;YunLong Zhu;KunYuan Hu

  • Affiliations:
  • -;-;-

  • Venue:
  • CIS '08 Proceedings of the 2008 International Conference on Computational Intelligence and Security - Volume 01
  • Year:
  • 2008

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Abstract

This paper presents a novel Complex Event Mining Network (CEMN) and defines the fundamentals of radio-frequency identification (RFID)-enabled supply chain event management and discusses how an Complex Event Processing (CEP) can be used to resolve the underlying architecture challenges and complexities of integrating real-time decision support into the supply chain. The proposed CEP architecture is a distributed Event Processing Networks (EPNs) capable middleware infrastructure which enables automatic and real-time routing, caching, filtering, aggregation and processing of RFID events. It provides a global platform for distributed execution and management of RFID-enabled supply chain data. It enables a federated control over supply chain nodes deployed in many different organizations, respecting diverse security requirements while supporting centralized deployment and management of processes and rules. Finally, a distributed complex event detection algorithm based on Master-workers pattern is proposed to detect complex events and trigger correlation actions. The results showed that our proposed approach has more robust and scaleable in large-scale RFID applications.