Which term describes the analysis of data to find hidden or deleted information?

The term that accurately describes the analysis of data to find hidden or deleted information is data recovery. This process involves retrieving information that may not be easily accessible due to deletion, corruption, or loss of data. Data recovery techniques are crucial in forensic technology as they allow investigators to uncover vital evidence that might be critical in legal cases or security incidents. This could involve the restoration of files that were deliberately deleted or retrieving data from devices that are damaged or malfunctioning.

Data recovery encompasses various methods and tools designed specifically for extracting and reconstructing lost information, making it an essential component in forensic investigations. Other terms listed do not specifically pertain to retrieving hidden or deleted data in the same manner. For example, data mining involves analyzing large datasets to discover patterns and trends, but it does not primarily focus on recovering deleted information. Similarly, data exploitation and data fragility do not directly relate to the functionality of recovering lost data.