DPbD - Session 2

1. What purpose does threat modeling serve in data privacy?

• It predicts the cost of a data breach.

• 1. It identifies potential threats and vulnerabilities in a system.

• It models data flow within an organization.

• 1. It helps in choosing the marketing strategies.

1. Which project lists the top privacy risks in web applications?

• LINDDUN

• OWASP Top 10

• GDPR List

• 1. PETs Enumeration

1. What is 'data masking' primarily used for?

• Enhancing the data

• Sharing data with third parties

• Protecting confidential data

• Deleting unnecessary data

1. In the context of data privacy, what is 'K-anonymity'?

• A method to use data without revealing the user identity

• A type of encryption

• A regulation regarding data sharing

• A form of data masking

1. What is the primary goal of Privacy Enhancing Technologies (PETs)?

• 1. To enhance the speed of data processing

• To protect the privacy of users' data

• To increase data storage capabilities

• To improve data sharing options

Which is the following cryptography type is considered as keyless?

• Permutation

• Anonymization

• Hash

• Aggregation

Using Public key cryptography, the sender needs to use recipient's ​ (a)   key to send an encrypted message. The recipient will use own ​ (b)   key to decrypt the message.

• Public
• Private
• Secret
• Personal

Using Public key cryptography, the sender needs to use own ​ (a)   key to send a digitally signed message. The recipient will use sender's ​ (b)   key to verify the digital signature.

• Public
• Private
• Secret
• Personal

Which of the following can be regarded as Quasi-identifier in a dataset containing Full Name, Credit Card number and Age.

• Full Name

• Credit Card number

• Age

• None

In a dataset regarded as K-anonymous, a higher value of 'k' should determine what exactly?

• More accurate, less private values

• More private, less accurate values

• More private, more accurate values

• Less private, Less accurate values