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Data-centric security is an approach to security that emphasizes the dependability of the data itself rather than the security of networks, servers, or applications.Data-centric security is evolving rapidly as enterprises increasingly rely on digital information to run their business and big data projects become mainstream.
Data security typically goes one step further than database security and applies control directly to the data element. This is often referred to as data-centric security. On traditional relational databases, ABAC policies can control access to data at the table, column, field, cell and sub-cell using logical controls with filtering conditions ...
Software-based security solutions encrypt the data to protect it from theft. However, a malicious program or a hacker could corrupt the data to make it unrecoverable, making the system unusable. Hardware-based security solutions prevent read and write access to data, which provides very strong protection against tampering and unauthorized access.
For example, Base One describes a database-centric distributed computing architecture for grid and cluster computing, and explains how this design provides enhanced security, fault-tolerance, and scalability. [4] an overall enterprise architecture that favors shared data models [5] over allowing each application to have its own, idiosyncratic ...
The physical security of a data center is the set of protocol built-in within the data center facilities in order to prevent any physical damage to the machines storing the data. Those protocols should be able to handle everything ranging from natural disasters to corporate espionage to terrorist attacks.
Data-centric computing is an emerging concept that has relevance in information architecture and data center design. It describes an information system where data is stored independently of the applications, which can be upgraded without costly and complicated data migration.
The standard requires effective security measures that protect sensitive (personal) data and other assets, such as command and control data. It also requires that security vulnerabilities in the software have been eliminated, security principles, such as defense-in-depth have been followed, and the security of the software has been verified ...
Data defined storage explains information about metadata with an emphasis on the content, meaning and value of information over the media, type and location of data. Data-centric management enables organizations to adopt a single, unified approach to managing data across large, distributed locations, which includes the use of content and metadata indexing.
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