Enterprise Data Security in Health Care Industry Using Data Science and Generative Adversarial Network to Implement DataMasking Techniques

Authors

  • Chandra Sekhar Veluru USA Author

DOI:

https://doi.org/10.47363/JMHC/2022(4)272

Keywords:

Masking Techniques, Health Care, Adversarial Network

Abstract

This white paper describes a comprehensive solution to enterprise data security in the healthcare industry. It achieves Enterprise Data Security in Healthcare using advanced Data Masking with Data Science and Generative Adversarial Network (GAN). Because of the growing digitalization of records in healthcare, it inevitably becomes very paramount to safeguard sensitive information belonging to the patients. In this paper, the authors have thrown light on the challenges in healthcare security, reviewed current data-masking techniques, and introduced one much different: Generative Adversarial Network (GAN). It improves data privacy, ensures conformance to regulations, and preserves data integrity and usability on healthcare data.

Author Biography

  • Chandra Sekhar Veluru, USA

    USA

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Published

2022-11-24