What is the difference between statistical detection and rule-based detection models?

Question

Options

• ARule-based detection involves the collection of data in relation to the behavior of legitimate users
• BStatistical detection defines legitimate data of users over a period of time and rule-based
• CStatistical detection involves the evaluation of an object on its intended actions before it executes
• DRule-based detection defines legitimate data of users over a period of time and statistical

• A
  5% (2)
• B
  92% (34)
• D
  3% (1)

Explanation

Statistical Detection: This model involves analyzing patterns, behaviors, or deviations from normal activities within a system using statistical models or machine learning algorithms. It defines what is considered normal or legitimate behavior based on statistical analysis of historical data over a period of time. It identifies anomalies by comparing current behavior against statistical norms or baselines. Rule-Based Detection: In contrast, rule-based detection involves the creation of explicit rules or conditions that define specific behaviors or patterns associated with known threats or anomalies. These rules are typically based on predefined IF/THEN statements. Rule-based detection relies on explicit conditions or signatures to identify known patterns of malicious behavior.

No community discussion yet for this question.