Paper Summary: A Hybrid Approach With GAN and DP for Privacy Preservation of IIoT Data

Anonymization is a significant problem when handling Industrial Internet of Things (IIoT) data. Machine Learning (ML) applications require decrypted data to perform tasks efficiently, which means that third parties involved in data processing may have access to sensitive information. This poses a risk of privacy leaks and information leakage for the companies generating the data. […]

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