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Secure Data Masking for Healthcare Data Protection

Author(s) Goutham Bilakanti
Country India
Abstract The increasing use of cloud computing and artificial intelligence (AI) in the health care industry requires stringent security measures to keep patient information safe. In this paper, the use of data masking technology to secure Protected Health Information (PHI) and Personally Identifiable Information (PII) in a way that complies with regulatory requirements like HIPAA and GDPR is discussed. By using AWS Cloud services and AI-based anonymization, healthcare organizations can combat the threats of data breaches and unauthorized access. AI-based anonymization supports magnifying privacy through real-time masking of personally identifiable information such that data can be made analyzable without compromising confidentiality. Incorporating encryption and tokenization techniques enhances security for data in cloud-based healthcare systems. Real-life applications that have used AI and cloud-based security frameworks are cited in the research, where data exposure risks have been minimized successfully. This method supports secure handling of healthcare information with the possibility of seamless interoperability in digital healthcare settings. The findings highlight forward-looking security considerations in the design of digital healthcare.
Keywords Data masking, HIPAA compliance, healthcare data security, AI anonymization, GDPR compliance, PHI protection, PII security, AWS Cloud security, healthcare privacy, regulatory compliance.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 2, Issue 6, June 2021
Published On 2021-06-05
Cite This Secure Data Masking for Healthcare Data Protection - Goutham Bilakanti - IJLRP Volume 2, Issue 6, June 2021. DOI 10.5281/zenodo.15196759
DOI https://doi.org/10.5281/zenodo.15196759
Short DOI https://doi.org/g9d64m
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