International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Analysis Study Research Paper | Computers & Electrical Engineering | India | Volume 10 Issue 12, December 2021 | Popularity: 5 / 10


     

Architecting Privacy-First: AI-Enhanced Compliance Frameworks in AWS-Based Healthcare Analytics

Sai Tarun Kaniganti


Abstract: This study focuses on the significance of data privacy and compliance issues in software development. This paper explores the difficulties of developers and organizations in compliance with GDPR and CCPA, presents a privacy-preserving model, and describes the application of AI and ML in the capacity of compliance. In addition to the theoretical discussion, the paper uses examples from the authors? previous studies and projects of utilizing the AWS environment to implement privacy-compliant decision-making.


Keywords: Data protection, regulation, regulation, GDPR, CCPA, privacy-friendly model, artificial intelligence, machine learning, Amazon Web Services, healthcare information analysis, privacy-centric design


Edition: Volume 10 Issue 12, December 2021


Pages: 1517 - 1527


DOI: https://www.doi.org/10.21275/SR24806050147



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Sai Tarun Kaniganti, "Architecting Privacy-First: AI-Enhanced Compliance Frameworks in AWS-Based Healthcare Analytics", International Journal of Science and Research (IJSR), Volume 10 Issue 12, December 2021, pp. 1517-1527, https://www.ijsr.net/getabstract.php?paperid=SR24806050147, DOI: https://www.doi.org/10.21275/SR24806050147