Dynamic Data Masking for Real-Time Data Protection in Cloud-Based Applications
Abstract
Protecting sensitive data in cloud-based applications is critical to ensuring regulatory compliance and minimizing data exposure risks. This paper introduces a dynamic data masking framework that allows real-time obfuscation of sensitive information based on user roles and contextual factors. The proposed solution integrates with cloud databases and application layers to enforce dynamic masking policies without altering the underlying data. Performance tests demonstrate that the framework effectively reduces the risk of data exposure while maintaining low latency and high throughput. The study concludes that dynamic data masking enhances both security and operational efficiency in cloud-based environments.
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