What is rule-based detection when compared to statistical detection?
What is rule-based detection when compared to statistical detection?
Rule-based detection relies on predefined rules and patterns to identify specific actions or behaviors, whereas statistical detection involves analyzing data to determine the probability or likelihood of an action being a security threat. Therefore, the primary difference is that rule-based detection does not focus on the likelihood of an action, it simply matches actions to a set of predefined rules. Statistical detection, on the other hand, assesses the likelihood of an action occurring based on statistical analysis. Hence, the correct answer emphasizes the likelihood of a user's action.
A and D are not right because both detections have nothing to do with idenity. C is incorrect as statistical detection would concern with the likelihood so B is the correct answer.
The correct answer is B. Proof of a user's action. Statistical detection uses statistical algorithms and machine learning techniques to analyze patterns of behavior and determine the likelihood of a particular action being a security threat. But this likelihood can be used to determine whether an action was performed by a specific user, i.e. to prove the action was performed by the user. On the other hand, rule-based detection uses predefined rules to determine if a particular action is a security threat
B is correct
B IS CORRECT
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proof of a user’s action
B. Proof of a user's actions
B. proof of a user’s action