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Scans dark web repositories to determine if any of your email addresses have been exposed by data breaches. Monitor and remove your personal data online ... in an attempt to steal sensitive ...
In general, data sanitization techniques use algorithms to detect anomalies and remove any suspicious points that may be poisoned data or sensitive information. Furthermore, data sanitization methods may remove useful, non-sensitive information, which then renders the sanitized dataset less useful and altered from the original.
It supports a variety of data destruction standards, including British HMG IS5 (Infosec Standard 5), American DoD 5220.22-M, and the Gutmann method which features a 35-pass overwrite. [ 7 ] The tool has been recommended in TechAdvisor , [ 8 ] The Guardian , [ 3 ] and PC World , [ 9 ] and is a tool suggested by the United States government ...
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 remanence is the residual representation of digital data that remains even after attempts have been made to remove or erase the data. This residue may result from data being left intact by a nominal file deletion operation, by reformatting of storage media that does not remove data previously written to the media, or through physical properties of the storage media that allow previously ...
In other cases, such as the NSA report on the USS Liberty incident (right), the report may be sanitized to remove all sensitive data, so that the report may be released to the general public. As is seen in the USS Liberty report, paper documents are usually sanitized by covering the classified and sensitive portions before photocopying the ...
Sometimes a data distributor inadvertently or advertently gives sensitive data to one or more third parties, or uses it themselves in an authorized fashion. Sometime later, some of the data is found in an unauthorized place (e.g., on the web or on a user's laptop). The distributor must then investigate the source of the loss.
Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").