Which type of data is often used to track user behavior on digital devices?

Logs are a critical form of data used to track user behavior on digital devices. They provide a comprehensive record of events that occur within a system, capturing actions such as login attempts, file access, application usage, and network activity. Because logs are generated automatically by operating systems, applications, and network devices, they offer a time-stamped history of user interactions and system processes.

The rich detail contained in logs makes them invaluable for digital forensic investigations, as they can help analysts understand how a user interacted with a system over time, identify anomalies, and trace actions leading up to a security incident.

While metadata, volatile data, and static data can also provide useful information in forensic contexts, they do not serve the same purpose as logs in terms of tracking and recording user behavior in real-time. Metadata provides information about files (like size and creation date) without detailing user interaction. Volatile data, such as RAM contents, only holds temporary information that disappears when power is lost and is less useful for long-term tracking. Static data, which refers to data that does not change frequently, such as files stored on a disk, does not inherently record the dynamic actions of users. Thus, logs stand out as the primary type of data for tracking user behavior