security architecture 11

 

Briefly respond to all the following questions. Make sure to explain and backup your responses with facts and examples. This assignment should be in APA format and have to include at least two references 600 words .

One of the big challenges with cloud-based reputation checks is performance. Users do not typically want to wait a few seconds while the reputation of potential URLs is checked. Most of us have come to expect that websites are at the immediate tips of our fingers and that access and loading of the content should take place rapidly and immediately. This presents a tricky security problem. Since the reputation service exists in the cloud, the challenge can be summed up as, “How can a reputation be securely retrieved without slowing Web access down so much as to create a poor user experience?”

Python coding

  

We are producing two types of products, product A and product B. Product A is defective if the weight is greater than 10 lbs. Product B is defective if the weight is greater than 15 lbs. For a given product, we know its product_type and its weight. Design a program to screen out defective products. Starting the program with variable definition:

product_type = ‘xxx’

weight = xxx

Hint: You need to figure out the product type first, and then check if the product is defective based on the weight. You may use a nested if statement like the following:

if product is A:

if product weight > 10:

the product is defective

else:

if product weight >15:

the product is defective

But you need to translate the English into Python codes. 

As a challenge, you may also try a one-step if statement. such as :

if some condition is met:

the product is defective

else:

the product is normal

And the key is the bolded “some condition”.

Just need my worked checked

I need my SQL assignment looked over. I’m currently using MS management studio

  

1. List the employee whose employee number is 100.

Select * from Employee where employee_Num=100;

2.  List the Employee whose salary is between 50 K to 100k.

Select * from Employee where salary between 50000 and 100000;

Select * from Employee where salary >= 50000 and salary <= 100000;

3.  List the Employees whose name starts with ‘Ami’.

Select * from Employees where name like ‘Ami%’;

4. List the Employees whose name starts with A and surname starts with S.

Select * from Employees where name like ‘A%’ and surname like ‘S%’;

5.  List the Employees whos surname contains kar word.

Select * from Employees where  surname like ‘%kar%’;

6.  List the Employees whose name starts with P,B,R characters.

Select * from Employees where name like ‘[PBR]%’;

7. List the Employees whose name not starts with P,B,R characters.

Not Operator Symbol

Select * from Employees where name like ‘[!PBR]%’;

Not Operator

Select * from Employees where name not like ‘[PBR]%’;

8. Write a query to fetch first record from Employee table?

Select * from Employees where rownum=1;

9. Write a query to fetch the last record from Employees table?

Select * from Employees where rowid = select max(rowid) from Employee; 

10. Write a query to find the 2nd highest salary of Employees using Self Join

Select * from Employees a where 2 = select count (distinct salary) from Employee where a.salary <= b.salary;

11. Write a query to display odd rows from the Employees table 

Select * from(select rownum as rno,E.*from Employees E) where Mod(rno,2)=1;

12. Write a query to display even rows from the Employees table 

Select * from(Select rownum as rno,E.* from Employees) where Mod(rno,2)=0;

13. Write a query to show the max salary and min salary together form Employees table

Select max (salary) from Employees

Union

Select min (salary) from Employees;

14. Write a query to fetch all the record from Employee whose joining year is 2018 

Select * from Employees where substr(convert(varchar,joining_date, 103),7,4)= ’2018′

15. Write a SQL Query to find maximum salary of each department 

Select Dept_id,max(salary) from Employees group by Dept_id;

16. Write a query to find all Employees and their managers (Consider there is manager id also in Employee table). 

Select e.employee_name,m.employee name from Employees e,Employees m where e.Employee_id=m.Manager_id;

17. Write a query to display 3 to 7 records from Employee table 

Select * from (Select rownum as ‘No_of_Row’,E.* from Employee E)

18. Write a query to fetch common records from two different tables Employees and Employees1 which has not any joining conditions 

Select * from Employees 

Intersect 

Select * from Employees1;

19. Write a query to validate Email of Employee 

SELECT

EMAIL 

FROM

EMPLOYEE

Where NOT REGEXP_LIKE(Email, ‘[A-Z0-9._%+-]+@[A-Z0-9.-]+.[A-Z]{2,4}’, ‘i’);

20. Write a query to remove duplicate rows from Employees table 

Select Employee_No FROM Employees WHERE ROWID < >

(Select max (rowid) form Employees b where Employee_No =b.Employee_No);

R

 

Assessment  002 R Analysis and Report (maximum 3000 words)

In this assignment you are going to simulate data from an area chosen by yourself. It can be cyber related, healthcare, industrial, financial/credit card fraud, commerce – anything. However, run your ideas past me first before diving in. If you recall from the dplyr tutorials we were able to simulate small amounts of data based on several dataframes. We then linked the data we required using join() commands, etc. We then obtained summaries of the data and could use ggplot2 to highlight trends, etc.  

  1. Carefully, choose your domain. Give a rationale for simulating it.
  2. Define your data frames, generate them using sample_n and/or other commands. There is a package called charlatan you may find useful for generating personal names and other values. About 4-5 dataframes will suffice.
  3. Think about seeding trends and patterns in your simulated data that you can “detect” later.
  4. Use dplyr to extract the columns you need from the dataframes.
  5. Use some sort of analysis such as summaries to get statistics on your data. Break it down by a category variable such as e.g. time, gender, fraudulent V normal, etc.
  6. In the write-up, I will expect to see an introduction section, methods, and then sections for Simulation of data and transforming data, Analysis of data; marks for plots should of course be in the Analysis section.

Part 1: Analysis of the Data (70 marks)

You will need to develop R code to support your analysis, use dplyr where possible to get the numeric answers. Regarding ggplot2, be careful as to what type of plot you use and how you use them as you have many records and want the charts to be readable. You should place the R code in an appendix at back of the report (it will not add to word count).  Section each piece of code with # comments and screenshots of outputs.

  • Simulation of data (20 marks)
  • Transforming data (10 marks)
  • Analysis of data and plots (20 marks)
  • Write-up of the data analysis (similar format of my R tutorials) (20 marks)

Part 2: Scale-up Report (30 marks)

The second part will involve writing a report. Now assuming your Part 1 was an initial study for your organisation, what are the issues when you scale it up and start using it in practice?

  • Discussion of Cyber security, big data issues, and GDPR issues (20 marks)
  • Structure of report, neatness, references. Applies to both Part 1 and Part 2 (10 marks)

Penalties: Do not go over word limit of 3,000 (other than ±10%) as loss of marks will occur according to the university guidance on penalties.

Output: Submit PDF electronic copy to Canvas before the deadline, along with a file containing your R code. The data should be generated from the R code, so do not submit any data.

Making Web Analytics Actionable (300 words minimum)

  

Discussion Points:

Benchmarking and setting goals are very important in driving action; it encompasses getting inside the mind of the customer you are trying to reach. Dealing with human beings as you know can be difficult there are so many variables to consider. 

Discuss the importance of Benchmarking and Setting Goals. Include your understanding of Internal and External Benchmarking.

PLEASE USE ATTACHED REFERENCES FOR ANSWER. (MINIMUM 300 WORDS)

***Chapter 11 pages 263 –296 and Chapter 12 pages 297-347 (“Web Analytics an Hour a Day” by Avinash Kaushik) will be most help full. 

Team managment assignment 2

Using the Internet, each member of your team should read at least One academically reviewed articles on Team designing. Summarize the articles in 300 words or more. Provide appropriate reference. 

Essay Questions

 

  • Review the strategic integration section.  Note what strategic integration is and how it ties to the implementation of technology within an organization.
  • Review the information technology roles and responsibilities section.  Note how IT is divided based on operations and why this is important to understand within an organization.

HomeWork Paper

Discuss how information is classified and how it can be used in a competitive situation.

Length, 2 – 3 pages.

All paper are written in APA formatting, include title and references pages (not counted). Must use at least two references and citations.

Please reference the rubric for grading.

All paper are checked for plagiarism using SafeAssign, you can review your score.

Please use the attached APA template to get started.

E-Mail Forensics

 Explain the concept of information stores. Why is an understanding of how different clients store messaging information critical to the success of an email search?