From the course: Cloud Data, Platform, and Applications Security by Pearson

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Data obfuscation

Data obfuscation

From the course: Cloud Data, Platform, and Applications Security by Pearson

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Data obfuscation

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Data obfuscation comes from the word obscuring, a way to obscure the data. It's a general term that applies to any or all techniques that present data as less decipherable or more meaningless. The objective is to render data indecipherable or to hide certain characteristics or attributes such as personal identifiable information, health information, or corporate intellectual property. In the category of obfuscation, we may use shuffling. Shuffling is a term that describes using characters from the same data set to further present the data. For example, scrambling the data. The important thing here is the original data and the scrambled data comes from the same data set. We also have randomization. This is when some or all of the data is replaced with indiscriminate or tokenized characters. We'll talk about a form of randomization, tokenization, coming up. Now, on the exam, whatever method you use to obscure or obfuscate data, it's critical that you prevent inference. That's why we do…

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