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The purpose of metadata removal tools is to minimize the risk of such data leakage. [4] The metadata removal tools that exist today can be divided into four groups: Integral metadata removal tools, which are included in some applications, like the Document Inspector in Microsoft Office. Batch metadata removal tools, which can process multiple ...
Printed documents which contain classified or sensitive information frequently contain a great deal of information which is less sensitive. There may be a need to release the less sensitive portions to uncleared personnel. The printed document will consequently be sanitized to obscure or remove the sensitive information.
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous.
In Excel and Word 95 and prior editions a weak protection algorithm is used that converts a password to a 16-bit verifier and a 16-byte XOR obfuscation array [1] key. [4] Hacking software is now readily available to find a 16-byte key and decrypt the password-protected document. [5] Office 97, 2000, XP and 2003 use RC4 with 40 bits. [4]
Data sanitization involves the secure and permanent erasure of sensitive data from datasets and media to guarantee that no residual data can be recovered even through extensive forensic analysis. [1] Data sanitization has a wide range of applications but is mainly used for clearing out end-of-life electronic devices or for the sharing and use ...
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A firewall prevents hackers from accessing your computer online, which prohibits them from stealing your sensitive info or infecting your computer. While you should keep the firewall active most of the time, temporality turning it off can be helpful when trying to determine what is causing issues with your computer.
Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database. It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [ 1 ]