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Many of these articles also point to existing data sanitization and security policies of companies and government entities, such as the U.S. Environmental Protection Agency, "Sample Policy and Guidance Language for Federal Media Sanitization". [9]
Deleting data at rest on storage media such as backup tapes, data stored in the cloud, computers, phones, or multi-function printers can present challenges when confidentiality of information is of concern. When encryption is in place, data disposal is more secure, as less data (only the key material) needs to be destroyed.
Data erasure (sometimes referred to as data clearing, data wiping, or data destruction) is a software-based method of data sanitization that aims to completely destroy all electronic data residing on a hard disk drive or other digital media by overwriting data onto all sectors of the device in an irreversible process. By overwriting the data on ...
Data preservation is the act of conserving and maintaining both the safety and integrity of data.Preservation is done through formal activities that are governed by policies, regulations and strategies directed towards protecting and prolonging the existence and authenticity of data and its metadata. [1]
Data architect; Data center security; Data exfiltration; Data loss prevention software; Data minimization; Data theft; Data validation; Database encryption; DataSpii; De-perimeterisation; Defense in depth (computing) Domain Based Security; Doxing
One technique for evaluating database security involves performing vulnerability assessments or penetration tests against the database. Testers attempt to find security vulnerabilities that could be used to defeat or bypass security controls, break into the database, compromise the system etc. Database administrators or information security administrators may for example use automated ...
The Biba Model or Biba Integrity Model developed by Kenneth J. Biba in 1975, [1] is a formal state transition system of computer security policy describing a set of access control rules designed to ensure data integrity. Data and subjects are grouped into ordered levels of integrity.
Categorize the information system and the data it processes, stores, and transmits, based on an impact analysis. [6] [7] [8] Select a baseline set of security controls for the information system based on its security categorization. Tailor and supplement the baseline controls as needed, based on an organizational risk assessment and specific ...