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Effective redaction of electronic documents requires the removal of all relevant text and image data from the document file. This process, internally complex, can be carried out very easily by a user with the aid of "redaction" functions in software for editing PDF or other files.
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 ...
Unstructured data: PDF files - Anonymization of text, tables, images, scanned pages. DICOM - Anonymization metadata, pixel data, overlay data, encapsulated documents. [12] Images; Removing identifying metadata from computer files is important for anonymizing them. Metadata removal tools are useful for achieving this.
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 ...
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.
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Data masking or data obfuscation is the process of modifying sensitive data in such a way that it is of no or little value to unauthorized intruders while still being usable by software or authorized personnel. Data masking can also be referred as anonymization, or tokenization, depending on different context.