Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation.

Hao Lin1,2,3, Xiaolei Li2,3, Haoyu Gao2,3

  • 1School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China.

Multimedia Tools and Applications
|May 16, 2022
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Arylboron Tetraphenylethylene-Analog AIEgens Enabling Reversible Closed-Shell/Open-Shell Switching.

Journal of the American Chemical Society·2026
Same author

Molecular Mechanisms Underlying the Synergistic Regulation of Glucose and Clay Minerals on Polyphenol-Maillard Mediated Abiotic Humification.

Molecules (Basel, Switzerland)·2026
Same author

Selective Uranium Adsorption of Phosphorylated Silica Gel With High Capacity and Ultrafast Kinetics.

Chemistry, an Asian journal·2026
Same author

Optimizing glycine concentration to enhance gibbsite-catalyzed abiotic humification of catechol and glucose.

PloS one·2025
Same author

The risks of inflammation and metabolism in distinct phenotypes of bicuspid aortic valve-associated aortopathy and aortic dissection: A population-based cohort study.

Surgery·2025
Same author

Rare rupture at right-noncoronary commissure in giant sinus of Valsalva pseudoaneurysm with preserved valve function.

European heart journal·2025
Same journal

Retraction Note: An efficient hybrid stock trend prediction system during COVID-19 pandemic based on stacked-LSTM and news sentiment analysis.

Multimedia tools and applications·2026
Same journal

Retraction Note: Covid-19 classification using sigmoid based hyper-parameter modified DNN for CT scans and chest X-rays.

Multimedia tools and applications·2026
Same journal

Retraction Note: Smart healthcare system using integrated and lightweight ECC with private blockchain for multimedia medical data processing.

Multimedia tools and applications·2026
Same journal

Retraction Note: Modeling and prediction of KSE - 100 index closing based on news sentiments: an applications of machine learning model and ARMA (p, q) model.

Multimedia tools and applications·2026
Same journal

Retraction Note: COVID-19 Detection using adopted convolutional neural networks and high-performance computing.

Multimedia tools and applications·2026
Same journal

Human-like scene graph generation and evaluation.

Multimedia tools and applications·2026
See all related articles
This summary is machine-generated.

This study introduces the InterPlanetary File System (IPFS) and Smart Contract-Based Method for Storage and Invocation (ISC-MTI) to secure machine learning models. ISC-MTI enhances security against data tampering and theft during model training and invocation.

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Cybersecurity

Background:

  • Centralized storage in machine learning poses significant risks of data tampering and model theft.
  • Existing machine learning frameworks lack robust security measures for training and invocation processes.

Purpose of the Study:

  • To propose a secure framework, ISC-MTI, for machine learning model training and invocation.
  • To enhance the safety, traceability, and privacy of machine learning models and their data.

Main Methods:

  • Utilized InterPlanetary File System (IPFS) for decentralized storage.
  • Employed EOS (Enterprise Operation System) blockchain for smart contract implementation.
  • Integrated RSA and AES encryption for secure communication and data protection.
Keywords:
EOSInterPlanetary file systemMachine learning securityModel invocationModel trainingSmart contract

Related Experiment Videos

Main Results:

  • Demonstrated improved safety in machine learning model training and invocation.
  • Achieved enhanced security with minimal efficiency loss.
  • Provided capabilities for anti-theft, traceability, tamper resistance, reliability, and privacy.

Conclusions:

  • ISC-MTI offers a secure and reliable solution for machine learning model lifecycle management.
  • The framework effectively mitigates risks associated with centralized storage in machine learning.