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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.
In security engineering, security through obscurity is the practice of concealing the details or mechanisms of a system to enhance its security. This approach relies on the principle of hiding something in plain sight , akin to a magician's sleight of hand or the use of camouflage .
One of the more widely accepted subcategory breakdowns was developed by Dr. Marcus Rogers. He has proposed the following sub-categories: data hiding, artifact wiping, trail obfuscation and attacks against the CF (computer forensics) processes and tools. [3] Attacks against forensics tools directly has also been called counter-forensics. [4]
Some token service providers or tokenization products generate the surrogate values in such a way as to match the format of the original sensitive data. In the case of payment card data, a token might be the same length as a Primary Account Number ( bank card number ) and contain elements of the original data such as the last four digits of the ...
AOL takes your security very seriously, and as such, we stay ahead of this problem by updating our DMARC policy to tell other compliant providers like Yahoo, Gmail, and Outlook to reject mail from AOL address sent from non-AOL servers.
By diversifying systems and obfuscation of data through system analysis, data scientists and security experts can make it harder for hackers to breach a system's security and privacy settings. Virtualization systems are used by cybersecurity experts to test the effects of various obfuscation techniques on potential cyber attacks.