Question: How can machine learning be applied to automate attacks that leverage polymorphic techniques, making it challenging for signature-based defenses to detect malicious activity?

Answer:

Machine learning algorithms can analyze polymorphic patterns, automating the generation of varied attack payloads that evade signature-based defenses in the context of web security.

MCQ: How can machine learning be applied to automate attacks that leverage polymorphic techniques, making it challenging for signature-based defenses to detect malicious activity?

A. Polymorphic techniques are not relevant to machine learning.
B. Machine learning algorithms can analyze polymorphic patterns, automating the generation of varied attack payloads that evade signature-based defenses.
C. Automation and polymorphic techniques are unrelated concepts.
D. Machine learning is limited to behavioral analysis.

Correct Answer: A. Polymorphic techniques are not relevant to machine learning.

Explanation:

Machine learning algorithms can analyze polymorphic patterns, automating the generation of varied attack payloads that evade signature-based defenses in the context of web security.