Correct option is D
Data diddling is the unauthorized modification of data before or during its entry into a system. This is often done to manipulate the output or results, typically for malicious purposes, such as altering financial records or bypassing controls.
Important Key Points:
1.
Definition: Data diddling involves changing data values at the point of entry or before processing.
2.
Impact: Can lead to incorrect processing, resulting in financial losses or compromised systems.
3.
Prevention: Using proper authentication, access controls, and input validation can help mitigate such risks.
Knowledge Booster:
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Data Modelling: Refers to creating a logical structure for data representation and is not related to unauthorized modification.
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Salami Attack: A type of cyberattack that involves stealing small amounts of data or money over time, not altering data at entry.
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Data Corruption: Refers to unintended errors or damage in data storage or transmission, not deliberate tampering.
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Data Manufacturing: Not a valid concept in this context.