A Novel Framework for Trustworthy Privacy Preserving Machine Learning Model for Industrial IoT Systems Using Blockchain Techniques

Authors

  • Dr. G. Yedukondalu  CSE (AI&ML) Department, Vignan Bharathi Institute of Technology, Hyderabad, India
  • Dr. Channapragada Rama Seshagiri Rao  Professor and Principal, Vignana Bharathi Engineering College, Hyderabad, India
  • Raman Dugyala  Professor, CSE Department, Chaitanya Bharathi Institute of Technology, India

DOI:

https://doi.org/10.32628/IJSRST229498

Keywords:

IIoT trustworthiness, blockchains, Ethereum, federated learning, differential privacy, IPFS.

Abstract

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.

References

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International Journal of Scientific Research in Science and Technology

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Published

2022-08-30

Issue

Volume 9, Issue 4, July-August-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. G. Yedukondalu, Dr. Channapragada Rama Seshagiri Rao, Raman Dugyala "A Novel Framework for Trustworthy Privacy Preserving Machine Learning Model for Industrial IoT Systems Using Blockchain Techniques" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 4, pp.611-618, July-August-2022. Available at doi : https://doi.org/10.32628/IJSRST229498