Discovery of any vulnerability in a software program can potentially be sold to the government: True.
<h3>What is vulnerability?</h3>
Vulnerability is any form of weakness, flaw or defect that is found in a software application, computer system, or network, which can be exploited by an attacker (hacker), in order to gain an unauthorized access and privileges to sensitive user data that are stored in a computer system.
This ultimately implies that, a vulnerability in a software application can potentially be sold to the government, so as to avert and mitigate any form of unauthorized access and privileges to sensitive user data.
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Answer:
def normalize(text):
text = text.lower()
text = text.split()
return text
Explanation:
The functiinfunction is provided with an input text when called upon, then it changes every character in the text into lower case and split each word with a space.
Answer:
The correct word for the blank space is: baseline standards.
Explanation:
Minimum Baseline Standards (MBS) refers to the minimum security guidelines companies set to protect their sensitive data. To achieve such objective, all the devices of an entity -<em>e.g.: servers, routers, and firewalls</em>- must be configured in a form that prevents external or internal attacks. Setting an MBS helps an organization to provide technical support faster since regular users will be working with a system that was implemented by the <em>Information Technology</em> (IT) department of the same association.
Hiding/masking personal identifiers from a data set, so that the data set can never identify an individual, even if it is correlated with other data sets is known as anonymization.
<h3>What is anonymization?</h3>
The term anonymization is known as data masking and it is the standard solution in the case of data pseudonymisation. It is generally recognised by using masking and data is de- sensitised also that privacy could be maintained and private information remains safe for the support.
Data is generally identified by using masking and data is de- sensitised also that privacy could be maintained and private information remains safe for the support.
Therefore, Hiding/masking personal identifiers from a data set, so that the data set can never identify an individual, even if it is correlated with other data sets is known as anonymization.
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