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Patented AI Optimization and Secure Data Sharing for Port Logistics CFS

Project
21020 SOCFAI
Type
Enhancement
Description

Granted Korean patent KR 10-2916863 (application no. 10-2023-0173214) covers a method and system for secure multi-party data sharing and AI-based optimization in Container Freight Station (CFS) port logistics operations. The patented technology supports safe data exchange among multiple logistics stakeholders for CFS placement and management optimization. Its secure data sharing method is related to the Blockchain-Based Port Logistics Data Integrity Platform developed in SOCFAI, providing an IP basis for tamper-resistant multi-party data sharing.

Contact
Jinhong Yang, INJE University
Email
jinhong@inje.ac.kr
Research area(s)
Artificial Intelligence, Port Logistics, Data Security
Technical features
  • Patented secure multi-party data sharing method for port logistics stakeholders
  • Applicable to AI-based CFS container placement and management optimization
  • Related to blockchain-based data integrity verification in the SOCFAI platform
  • Granted Korean patent KR 10-2916863 providing IP protection for the underlying method
Integration constraints
  • Applicable to port logistics CFS operational environments and related logistics data-sharing workflows
  • Requires multi-party data exchange infrastructure among relevant logistics stakeholders
  • Implementation requires separate system integration and patent licensing
Targeted customer(s)
  • Port logistics operators seeking AI-based CFS optimization
  • CFS management system providers
  • Logistics platform developers requiring secure multi-party data sharing methods
Conditions for reuse

Patent licensing from Inje University Industry-Academic Cooperation Foundation (patent holder)

Confidentiality
Public
Publication date
14-05-2026
Involved partners
INJE University (KOR)