Question:

Prompt: Submit a comprehensive risk analysis paper that identifies the cyberlaw foundations that affect Equifax. The framework for the assessment will include how the business model ensures that their current cyber practices are both legal and ethical.

Specifically the following critical elements must be addressed:

1. Define and evaluate the Equifax business model .

2. Analyze the precise cyber-security laws, private and public laws, state statutes, criminal and civil laws, and ethical guidelines that are pertinent to the organization.

3. Evaluate the current cyberlaws, regulations, and policies within the organization as they relate to the organization's information systems.

4. Cyberlaw crimes

a) Evaluate how cyber-related crimes should be investigated and handledwithin an organization.

b) Analyze the impact that these cyber-crimes can have on an organization's information technology structure.

c) Evaluate the appropriate information security measures that should be in place to safeguard an organization's information.

5. Cyber-crime and e-commerce

a) Analyze the organization's current information systems security measures in place that allow users to access the organization's data.

b) Evaluate the current cyberlaws to ensure that they protect the organization's data against outside intrusion

Gaussian random variable X , the mean is 2, and the variance is 9. Consider another random variable Y=X+5, the variance of Y is QUESTION 8 Gaussian random variable X , the mean is 2, and the variance is 9. Consider another random variable Y=X+5, the expectation of Y is QUESTION 9 Gaussian random variable X , the mean is 2, and the variance is 9. Consider another random variable Y=2X, the expectation of Y is QUESTION 10 Gaussian random variable X , the mean is 1, and the variance is 2. Consider another random variable Y=5X, the variance of Y is QUESTION 11 Gaussian random variable X , the mean is 1, and the variance is 4. The probability P(1 - 1) is: Note: There is no need to show steps, please provide the final numerical answer upto two digits after the decimal. QUESTION 13 Random variable X is uniform distributed in (-3, 3), EX~] = 0 2 322 Transformation of Multiple Random Variables The Gaussian random variables X ~ N(-1, 2) and Y ~ N(3, 4) are statistically indepen dent. Two new Gaussian random variables W and Z are obtained by the transformation W Z -13 3]+18] Determine the covariance matrix Cwz.1. a. Find the MGF of a standard normal random variable and its region of convergence. b. Using an affine transform on a standard normal random variable, find the MGF of a Gaussian random variable with expected value ux and standard deviation ox. c. Find the MGF of a sum of n i.i.d. Gaussian random variables. d. Using your results in parts (b) and (c) find the PDF of a sum of n i.i.d. Gaussian random variables.1. a. Find the MGF of a standard normal random variable and its region of convergence. b. Using an affine transform on a standard normal random variable, find the MGF of a Gaussian random variable with expected value My and standard deviation ox. c. Find the MGF of a sum of n i.i.d. Gaussian random variables. d. Using your results in parts (b) and (c) find the PDF of a sum of n i.i.d. Gaussian random variables