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.
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 hardware, software, and network costs are decreasing constantly.
In the future, it is likely that computing solution costs will be dominated by people costs. There is need for database backup, database restore, and database reorganization to reclaim space or to restore preferable arrangement of dynamic data. Migration from one database version to the next, without impacting solution availability, is an art still in its infancy. Parts of a database solution, if not the entire solution usually become unavailable during version change.
An organization that provides database as a service has an opportunity to do these tasks and offer a value proposition provided it is efficient. The new paradigm challenges the traditional model of data management followed by current organizations. Dynamic data masking service provider provides seamless mechanisms for organizations to create, store, and access their databases.
Moreover, the entire responsibility of database management, i.e., dynamic data masking backup, administration, restoration and database reorganization to reclaim space or to restore preferable arrangement of data, migration from one database version to the next without impacting availability will befall such an organization.
Users wishing to access data will now access it using the hardware and software at the service provider instead of their own organization’s computing infrastructure. The application would not be impacted by outages due to software, hardware and network-
The technological aspects of developing database as a service lead to new research challenges.
Challenges In Providing Data Masking As A Service
First and foremost is the issue of dynamic data masking privacy. In database as service provision model, user data needs to reside on the premises of the database service provider. Most corporations view their data as a very valuable asset. The service provider would need to provide sufficient security measures to guard the data privacy. We propose data encryption as the solution to this problem.
Secondly, another key challenge in providing database as a service is that of performance. Since the interaction between the users and the database service provider takes place in a different medium, the network, than it does in traditional databases, there are potential overheads introduced by this architecture. Therefore the sources of performance degradation and its significance should be determined.
Finally, another common challenge faced in providing database as a service is that of an appropriate user interface. Clearly, the interface must be user friendly; yet it needs to be powerful enough to allow ease in building applications.
- Dynamic Data Masking Management System (DBMS)
- DATABASE SERVICE
- Getting Started With Dynamic Data Masking (DDM)