This article seeks to explore the dynamic data masking  as service paradigm and the challenges introduced by that. Today, efficient data processing is a fundamental and vital issue for almost every scientific, academic, or business organization. Therefore the organizations end up installing and managing database management systems to satisfy different data processing needs.

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Although it is possible to purchase the necessary dynamic data masking software, hardware, deploy database products, establish network connectivity, and hire the professional people who run the system, as a traditional solution, this solution has been getting increasingly expensive and impractical as the database systems and problems become larger and more complicated. As described above, the traditional solution entails different costs. It might be arguable that …

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