Data Privacy in Cloud Environments: Best Practices for Safeguarding Sensitive Information in Distributed Data Science Workflows
Year: 2024
Type: article
Abstract: The exponential growth of cloud-based data science platforms has created unprecedented challenges in safeguarding sensitive information while maintaining analytical capabilities in distributed environments.This article presents a comprehensive framework for protecting data privacy in cloud-based data science workflows, examining both technical solutions and organizational best practices.The article investigates advanced privacy-preserving techniques, including differential privacy, homomorphic encryption, and secure data anonymization methods, alongside robust security infrastructures encompassing access controls, real-time monitoring
Author: Venkata Rajesh Krishna Adapa
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4406039033