Final answer:
The student's question pertains to matching incident detection methods in computer security to their descriptions. Methods include signature-based detection using known data patterns, anomaly-based detection looking for deviations from a norm, heuristic-based detection using rules to identify threats, and behavior-based detection monitoring for abnormal actions.
Step-by-step explanation:
The student is asking about different methods for detecting incidents in the field of computer security. Here's how each detection method matches with the descriptions:
- Signature-based detection: This method uses a database of known patterns of data, or 'signatures', to identify potential threats. It is like searching for a specific DNA sequence to detect a known pathogen.
- Anomaly-based detection: This technique looks for deviations from a normal baseline or expected behavior. Similar to how descriptive science might identify something unusual that stands out during observations.
- Heuristic-based detection: Involves using rules or algorithms to identify suspicious behavior that could indicate an attack, much like formulating a hypothesis in scientific research.
- Behavior-based detection: Monitors for abnormal actions that may signal malicious intent, which is somewhat a combination of anomaly and heuristic methods, utilizing continuous observation and analysis.