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A Blockchain and Fingerprinting Traceability Method for Digital Product Lifecycle Management.

Jose Luis Gonzalez-Compean1, Victor Jesus Sosa-Sosa1, Jose Juan Garcia-Hernandez1

  • 1Centro de Investigación y de Estudios Avanzados del I.P.N. (Cinvestav Tamaulipas), Victoria City 87130, Mexico.

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Summary
This summary is machine-generated.

This study introduces a novel traceability method for digital product lifecycle management (DPLM) using blockchain and fingerprinting. It efficiently verifies digital product integrity and agreement compliance throughout the DPLM process.

Keywords:
DPLMblockchaindigital value chainfingerprintingsecurity

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Area of Science:

  • Computer Science
  • Information Technology

Background:

  • Digitalization and IoT enable new Digital Product Lifecycle Management (DPLM) applications.
  • Verifying digital contract compliance is crucial but challenging for digital product integrity and transactions.
  • Existing DPLM methods struggle with validating integrity across multiple stages.

Purpose of the Study:

  • To propose a novel traceability method for DPLM.
  • To integrate online and offline verification mechanisms for enhanced DPLM.
  • To address challenges in validating digital product integrity and transactions.

Main Methods:

  • Developed a traceability method combining blockchain for online registration and fingerprinting for offline verification.
  • Implemented a blockchain lifecycle registration model for tracking digital product exchange.
  • Utilized fingerprinting for offline integrity checks and DPLM log registration within products.

Main Results:

  • A DPLM service prototype was built and implemented as a cloud computing service.
  • A case study involving the DPLM of audios demonstrated the method's effectiveness.
  • Experimental evaluation confirmed the method's efficient application in real-world DPLM scenarios.

Conclusions:

  • The proposed method effectively enhances traceability in DPLM.
  • Integration of blockchain and fingerprinting provides robust verification for digital products.
  • The approach is efficient and applicable to real-world DPLM challenges.