Which term refers to the set of patterns that should be matched by a system?

The correct answer is "Dictionary." In the context of security and data analysis, a dictionary often refers to a predefined set of patterns, words, or data entries that a system references in order to identify and match specific characteristics or behaviors. This can be particularly relevant in fields such as cybersecurity, where a dictionary might be used to detect certain types of cyber threats or anomalies by comparing observed data against known patterns.

A dictionary is not just a list of words, but can also serve as a comprehensive resource containing various patterns that help in identifying risks, vulnerabilities, or malicious activities. For systems such as intrusion detection systems or data loss prevention tools, having this reference point allows for more efficient and accurate identification of threats.

Templates might be used to create specific data structures or formats, but they don't typically encompass a broader range of patterns. The classification model refers to frameworks used to categorize data based on features, rather than just matching patterns. Pattern recognition itself is a broader concept that encompasses various methods and techniques to identify and classify patterns, rather than pointing toward a specific set of patterns like a dictionary does.