Description: Temporal distortion is a process that involves altering time-related data to prevent the identification of individuals. This method is primarily used in the field of data anonymization, where privacy and identity protection are crucial. Temporal distortion can include techniques such as altering timestamps, modifying time intervals, or creating fictitious intervals. By doing so, the aim is to preserve the utility of the data for analysis and studies while minimizing the risk of tracing the information back to a specific individual. This technique is especially relevant in contexts where sensitive data is handled, such as in medical research or behavioral studies, where identifying individuals could compromise their privacy. Temporal distortion not only helps comply with data protection regulations but also fosters trust in data usage, allowing organizations to conduct analyses without jeopardizing the privacy of the individuals involved.
