What does event masking help avoid in a forensic investigation?

Event masking is a technique used in digital forensics to prevent overwhelming systems by filtering out unnecessary data and focusing only on the relevant events. This is particularly important during investigations where large volumes of data can lead to system overload, potentially causing the systems to crash. By applying event masking, forensic investigators can manage data flow effectively, ensuring that the systems remain operational and responsive throughout the investigation process.

The other options relate to different aspects of forensic investigations. Missing relevant data is a significant concern but is more related to how data is collected and preserved rather than to the concept of event masking. Identifying false positives also relies on precise data analysis and interpretation, not on the filtering process of event masking. Lastly, tracking attacks is a fundamental part of digital forensics, but it is distinct from the focus of event masking, which is specifically about managing data overload during an investigation. Therefore, recognizing that event masking primarily helps mitigate the risk of crashing systems due to data overload is key in understanding its role in forensic investigations.