A Novel Framework for Trustworthy Privacy Preserving Machine Learning Model for Industrial IoT Systems Using Blockchain Techniques
Autor: | null Dr. G. Yedukondalu, null Dr. Channapragada Rama Seshagiri Rao, null Raman Dugyala |
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Rok vydání: | 2022 |
Předmět: | |
Zdroj: | International Journal of Scientific Research in Science and Technology. :611-618 |
ISSN: | 2395-602X 2395-6011 |
DOI: | 10.32628/ijsrst229498 |
Popis: | Industrial Internet of Things (IIoT) is changing many driving enterprises like transportation, mining, horticulture, energy and medical care. Machine Learning calculations are utilized for getting stages for IT frameworks. The IoT network unit hubs typically asset in a strange manner by making them more responsible to digital assaults. IIoT frameworks requests various situations in genuine one among them is giving security and the causes that encompass them in true viewpoints. It incorporates a system called PriModChain causes security and reliability on IIoT information by joining differential protection, Ethereum block chain and unified Machine learning. Consequently, security will be compromised and we use PriMod chain for giving protection and different compliances and created utilizing Python with attachment programming on essential PC. |
Databáze: | OpenAIRE |
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