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DAY 4 – NEXT-GEN Cybersecurity with AI

Total questions: 5

Worksheet time: 3mins

Name
Class
Date
1.

Machine Learning (ML) and Deep Learning (DL) both rely on training data to detect threats in cybersecurity systems

a)

True

b)

False

2.

Adversarial attacks strengthen AI models by improving their detection accuracy

a)

True

b)

False

3.

Which of the following is a common dataset used for training Intrusion Detection Systems (IDS)?

a)

ImageNet

b)

CICIDS2017

c)

MNIST

d)

COCO

4.

What is one major disadvantage of Deep Learning (DL) models in cybersecurity?

a)

They require less data than ML models

b)

They are easily interpretable

c)

They act as rule-based systems

d)

They are less explainable and require large datasets

5.

Which of the following describes an “Evasion Attack”?

a)

Inserting malicious samples into training data

b)

Slightly modifying malware to bypass detection

c)

Extracting a model’s logic via repeated queries

d)

Encrypting network traffic with TLS