BBP: Blockchain-Enabled Biological Assets Identity Protection System

  • Zexin Gao
  • , Zhengkang Fang
  • , Yihang Wei
  • , Keke Gai*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years, with the development of the Internet, various forms of biological assets can be digitally uploaded to the Internet, such as pictures of animals. Some malicious attackers can use the diffusion model to forgery the biological asset pictures exposed on the Internet, generate a large number of forged pictures to deceive financial institutions or achieve other purposes, which causes immeasurable losses to financial institutions and owners of biological assets. To this end, we propose an algorithm to generate biological asset adduction samples to defend against such attacks, and we propose a blockchain-based system named BBP, which can trace biological asset original and adduction samples. Our research provides a new direction for biological asset information management and improves the security of biological asset management.

Original languageEnglish
Title of host publicationBlockchain and Web3.0 Technology Innovation and Application - 1st Conference, BWTAC 2024, Proceedings
EditorsGansen Zhao, Jian Weng, Zhihong Tian, Liehuang Zhu, Zibin Zheng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages106-117
Number of pages12
ISBN (Print)9789819794119
DOIs
Publication statusPublished - 2025
Event1st Conference on Blockchain and Web3.0 Technology Innovation and Application, BWTAC 2024 - Guangzhou, China
Duration: 6 Nov 20248 Nov 2024

Publication series

NameCommunications in Computer and Information Science
Volume2277 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference1st Conference on Blockchain and Web3.0 Technology Innovation and Application, BWTAC 2024
Country/TerritoryChina
CityGuangzhou
Period6/11/248/11/24

Keywords

  • Adversarial Example
  • biological assets
  • blockchain
  • Diffusion Models

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