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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 ...
Secure by design, in software engineering, means that software products and capabilities have been designed to be foundationally secure.. Alternate security strategies, tactics and patterns are considered at the beginning of a software design, and the best are selected and enforced by the architecture, and they are used as guiding principles for developers. [1]
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.
The following design principles are laid out in the paper: Economy of mechanism: Keep the design as simple and small as possible. Fail-safe defaults: Base access decisions on permission rather than exclusion. Complete mediation: Every access to every object must be checked for authority. Open design: The design should not be secret.
The strategy is part of the data-centric security approach. Examples of this strategy include information deletion as a response to a security violation (such as unauthorized access attempts) and password resets. This is a supporting strategy for information system monitoring.
The second is that “usability is just as important as engineering principles and practices”. The third is that there needs to be more work on “refining and elaborating on design principles–both in privacy engineering and usability design”. including efforts to define international privacy standards.
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 ...