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ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation
Due to centralized storage, centralization problems are common in machine learning model training and invocation, which makes train data and trained models extremely vulnerable to tampering and stealing. A safe framework for training and invoking models called ISC-MTI (IPFS (InterPlanetary File Syst...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077977/ https://www.ncbi.nlm.nih.gov/pubmed/35572386 http://dx.doi.org/10.1007/s11042-022-13163-w |
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author | Lin, Hao Li, Xiaolei Gao, Haoyu Li, Jie Wang, Yongsheng |
author_facet | Lin, Hao Li, Xiaolei Gao, Haoyu Li, Jie Wang, Yongsheng |
author_sort | Lin, Hao |
collection | PubMed |
description | Due to centralized storage, centralization problems are common in machine learning model training and invocation, which makes train data and trained models extremely vulnerable to tampering and stealing. A safe framework for training and invoking models called ISC-MTI (IPFS (InterPlanetary File System) and Smart Contract-Based Method for Storage and Invocation of Machine Learning Mobel) is proposed in this paper. The framework uses IPFS as the storage solution, EOS (Enterprise Operation System) blockchain as the smart contract platform, RSA and AES as the implementation of encrypted communication. The Action responsible for invoking the training data and trained models in the smart contract and the model training, uploading, and invoking methods are designed. The experimental results demonstrate that ISC-MTI can improve the safety of model training and invocation with losing a little efficiency. Simultaneously, ISC-MTI can provide anti-theft model capabilities, traceability, tamper resistance, reliability, and privacy for the process. |
format | Online Article Text |
id | pubmed-9077977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-90779772022-05-09 ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation Lin, Hao Li, Xiaolei Gao, Haoyu Li, Jie Wang, Yongsheng Multimed Tools Appl Article Due to centralized storage, centralization problems are common in machine learning model training and invocation, which makes train data and trained models extremely vulnerable to tampering and stealing. A safe framework for training and invoking models called ISC-MTI (IPFS (InterPlanetary File System) and Smart Contract-Based Method for Storage and Invocation of Machine Learning Mobel) is proposed in this paper. The framework uses IPFS as the storage solution, EOS (Enterprise Operation System) blockchain as the smart contract platform, RSA and AES as the implementation of encrypted communication. The Action responsible for invoking the training data and trained models in the smart contract and the model training, uploading, and invoking methods are designed. The experimental results demonstrate that ISC-MTI can improve the safety of model training and invocation with losing a little efficiency. Simultaneously, ISC-MTI can provide anti-theft model capabilities, traceability, tamper resistance, reliability, and privacy for the process. Springer US 2022-05-07 2022 /pmc/articles/PMC9077977/ /pubmed/35572386 http://dx.doi.org/10.1007/s11042-022-13163-w Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Lin, Hao Li, Xiaolei Gao, Haoyu Li, Jie Wang, Yongsheng ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation |
title | ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation |
title_full | ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation |
title_fullStr | ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation |
title_full_unstemmed | ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation |
title_short | ISC-MTI: An IPFS and smart contract-based framework for machine learning model training and invocation |
title_sort | isc-mti: an ipfs and smart contract-based framework for machine learning model training and invocation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9077977/ https://www.ncbi.nlm.nih.gov/pubmed/35572386 http://dx.doi.org/10.1007/s11042-022-13163-w |
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