Machine Learning in Security Quiz

What is a classifier?

• A technique for data encryption.

• A method for data visualization.

• A type of machine learning model used for regression.

• An algorithm that maps input data to a specific category.

Which of the following is a Type I Error?

• A patient receives incorrect medication.

• A doctor misdiagnoses a patient.

• Fire alarm fails to ring when there is fire.

• Fire alarm rings when there is no fire.

What does KNN stand for?

• K-Node Network

• K-Nearest Nodes

• K-Nearest Neighbors

• K-Number Notation

Which feature is NOT typically used in KNN for malicious activity detection?

• Connection duration

• Packet size

• Number of failed logins

• User's geographical location

What is a challenge in machine learning for security?

• Excessive data storage

• High false positives

• Low computational power

• Lack of user engagement

What is the first step in detecting phishing websites using KNN?

• Collect website data

• Train a KNN model

• Implement security measures

• Analyze user behavior

What does a high false positive rate indicate?

• Many legitimate instances are incorrectly classified as malicious.

• The model is perfectly tuned.

• There are no security threats.

• All malicious instances are detected accurately.

Which of the following is a feature analyzed for phishing detection?

• User's browsing history

• Number of clicks

• URL length

• Time spent on the website

What is a common application of KNN in network security?

• Network speed optimization

• Malicious activity detection

• User authentication

• Data encryption

What is a potential issue with data quality in machine learning for security?

• Lack of labeled attack data

• Excessive data redundancy

• Overabundance of labeled data

• High data transfer rates