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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 recent years, more advanced versions of "security through obscurity" have gained support as a methodology in cybersecurity through Moving Target Defense and cyber deception. [15] NIST's cyber resiliency framework, 800-160 Volume 2, recommends the usage of security through obscurity as a complementary part of a resilient and secure computing ...
Obfuscation is the obscuring of the intended meaning of communication by making the message difficult to understand, usually with confusing and ambiguous language. The obfuscation might be either unintentional or intentional (although intent usually is connoted), and is accomplished with circumlocution (talking around the subject), the use of jargon (technical language of a profession), and ...
In software development, obfuscation is the practice of creating source or machine code that is intentionally difficult for humans or computers to understand. Similar to obfuscation in natural language , code obfuscation may involve using unnecessarily roundabout ways to write statements.
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]
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.