Reflective Paper

 

Provide a reflection of at least 500 words (2 pages double spaced excluding Title and Reference pages) that summarizes what you feel are the most important or interesting concepts you have learned so far in this Cloud Computing course.  Would be good to include an insight as to whether the learning was new to you or reinforced knowledge that you already had.

Requirements:  Provide a 500-word (2 or more pages double spaced not counting the title and reference pages) paper.  The paper should include a title page, body pages, and reference page.  An abstract and introduction is not required for this assignment.  Correct use of APA guidelines for sources and citations is required. If supporting evidence from outside resources is used those must be properly cited.

Attached the TextBook of the course.

Please write Between Chapter 1 and Chapter 8

EH FP

In 750 words

What is the Internet of Things (IoT) and how can we secure it? What are the Challenges?  

Address the below points
1) Make people aware that there is a threat to security;

2) Design a technical solution to reduce security vulnerabilities;

3) Align the legal and regulatory frameworks; and

4) Develop a workforce with the skills to handle IoT security.

Explain in detail, in a step-by-step guide, how to make people more aware of the problems associated with the use of IoT devices.

Analytics

Part1) 

   a) Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics. 

   225 Words + 2 References

Part2) 

   a) How do you describe the importance of data in analyt- ics? Can we think of analytics without data? Explain.

   b) Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?

   c) Where do the data for business analytics come from? What are the sources and the nature of those incoming data?

   d) What are the most common metrics that make for analytics-ready data?

   Min 200 words answer for each question.

Checklist:

APA Formatting

Part1 and Part2 needs to attached as two separate docs

Atleast 2 references for each part

Plagiarism report

CC Week 8 D

 Select from the following list four (4) topics and discuss. Use only 50-words max per topic to discuss and present your answer.  The discussion questions this week are from Chapter 9  (Jamsa, 2013).

Chapter 9 topics:

  • List the security advantages of cloud-based solutions.
  • List the security disadvantages of cloud-based solutions.
  • Define and discuss the data wiping process.
  • Discuss how a cloud-based solution provider may reduce the risk of a DDoS attack.
  • Define and discuss hyperjacking attacks.
  • Define and discuss guest-hopping attacks.

NOTE: You are required to use at least two-peer reviewed sources (besides your textbook) to answer the above questions.   

data breach

Answer each these questions in a paragraph with at least five sentences: Include the question and number your responses accordingly. Provide a citation for each answer.

1. With all the stories about millions and millions of bytes of personal data having been exposed, why is their still any faith at all in the Internet?

2. How has the term hacking changed meaning over the years?

3. What is the most dangerous hacker tool?

4. From the news: How were NSA’s hacker tools  compromised? 

5. What was the vulnerability in the Target Breach?

6. What do you think of hactivism?

7. How did Stuxnet work? 

8. What was the Arpanet?

9. Deep brain stimulation is a treatment for Parkinson’s disease. Medical devices such as these are now becoming accessible through the web. Consider the dangers (threat surface)?

10. What is the Red Team?

Python Programming

 

Description: The university maintains course schedules at http://appsprod.tamuc.edu/Schedule/Schedule.aspx for different semesters (spring, fall, winter, etc ). You will develop a Python program to dynamically complete certain tasks, such as list, find, sort, and save, in course listings from schedule portal. You will mainly use “request” and “BeautifulSoup” libraries (or similar, see exercise 12.1). The program will operate at different level: Semester and Department.  Your program will be a menu based application. Assume that you project file is myproject.py. Once you run, it will show last 5 semester (fall, spring, summer only, (not winter, may mini))

> python myproject.py
Choose a semester: 1) Sprint 2021   2)Fall 2020  3)Summer II  4)Summer I 5)Spring 2020 
Selection: 2

Here, your program will parse the data from website and show only last (most recent) 5 semesters. User will make selection, then, you will show departments for the selected semester (Fall 2020). Note that selected semester is visible before a “>” sign.

Fall 2020> Select a department:
1) Undeclared
2) Accounting and Finance
3) Art
4) Ag Science & Natural Resources
…
…
30) Social Work
31) Theatre
Q)Go back

Selection: 3

Fall 2020> Art > Select an option:
1) List courses by instruction name
2) List courses by capacity
3) List courses by enrollment size
4) List courses by course prefix
5) Save courses in a csv file
6) Search course by instruction name
7) Search courses by course prefix
Q)Go back
Selection: ??

Here, your program will parse the data from website and show all available department then list of tasks. Q (go back) option will take user to previous level. 

Course listing output should show the following fields. For instance for course listing for “Fall 2020> Computer Science & Info Sys> List the course by prefix ” should show

PrefixIDSecNameInstructorHoursSeatsEnroll.COSC130101WIntro to CompuLee, Kwang33510COSC143601EIntro to Comp Sci & ProgBrown, Thomas44036COSC143601LIntro to Comp Sci & ProgBrown, Thomas4036COSC143601WIntro to Comp Sci & ProgHu, Kaoning44543COSC143602EIntro to Comp Sci & ProgHu, Kaoning43532

as first 5 rows.

You will follow above headers and order (prefix (col. width 6), ID (5), Sec (5) ,Name (25), Inst (20), Hours (5), Seats (5), Enroll. (7) ) for other listing selections too. Data cell should be aligned with column header and left justified. A course name should not have a word more than 5 chars. For instance Algorithms should be abbreviated as “Algor”. The length of course name will not exceed 25 chars. In option 5, the above format should be used to save a listing to a file as .csv format. User will be able to provide a filename for csv file.

For this program you need to develop at least one class (chapter 10) with (possible) many methods.