What are keywords primarily comprised of in the context of digital forensics?

In the context of digital forensics, keywords are primarily comprised of data artifacts. Data artifacts are defined as pieces of information that can be extracted from digital devices and can provide insights into user behavior, system configurations, or system events. Keywords represent the terms or phrases that forensic examiners use to identify and search for specific items of interest within those artifacts, making them essential in the context of data recovery, analysis, and the investigation process.

Keywords enable forensic professionals to filter through vast amounts of data efficiently by focusing on relevant information that may pertain to a case, such as names, dates, locations, or terms related to criminal activity. This targeted approach helps in drawing meaningful conclusions from digital evidence.

The other options do not align with the definition of keywords in this context. Raw data refers to unprocessed data collected from a source, and while it can contain keywords, it doesn't represent them. Index files are structures used to improve the speed of data retrieval but do not constitute keywords themselves. File headers contain metadata about files but do not directly relate to the concept of keywords used in forensic investigations. Thus, data artifacts are indeed the most accurate characterization of what keywords are composed of in digital forensics.