All posts by : chebby

In this module, we will discuss network forensics. We move away from cellular/smartphone discovery and look at wired and wireless investigation. We will use the European Union Agency for Cybersecurity’s Introduction to Network Forensics guide. The document is available at:

https://www.enisa.europa.eu/topics/trainings-for-cybersecurity-specialists/online-training-material/documents/introduction-to-network-forensics-handbook.pdf

For the discussion, answer the following questions:

1) What types of network investigations are typical of those that fall under the topic of network forsensics?

2) How is information acquired from the various types of networks?

3) Describe several tools for network forensics and how the tools function? 

Your response to the DQ must be a minimum of 400 words. You must provide references for your response (APA format). You will need to reply to two (2) other fellow student’s posts (See the syllabus). The responses must be made in the week due.

Explain all the folders that would be present when creating a game application in Python. 

Discuss a particular type of Malware and how has it been used in “todays news” and the respective impact on cyber security. Add to your discussion ways the Malware could have been detected and potentially avoided.

This week’s article provided a case study approach which highlights  how businesses have integrated Big Data Analytics with their  Business Intelligence to gain dominance within their respective  industry.  Search the UC Library and/or Google Scholar for a “Fortune  1000” company that has been successful in this integration. Discuss the  company, its approach to big data analytics with business  intelligence, what they are doing right, what they are doing wrong, and  how they can improve to be more successful in the implementation and  maintenance of big data analytics with business intelligence. 

Your paper should meet the following requirements:

• Be approximately four to six pages in length, not including the required cover page and reference page.
• Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your answers with the readings from the course and at  least two scholarly journal articles to support your positions, claims,  and observations, in addition to your textbook. The UC Library is a  great place to find resources.
• Be clearly and well-written, concise, and logical, using excellent  grammar and style techniques. You are being graded in part on the  quality of your writing.

Reading Assignments

Big Data Visualization: Allotting by R and Python with GUI Tools. (2018). 2018  International Conference on Smart Computing and Electronic Enterprise  (ICSCEE), Smart Computing and Electronic Enterprise (ICSCEE), 1. https://doi.org/10.1109/ICSCEE.2018.8538413

Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics. Sustainability 2018, 10(10), 3778; https://doi.org/10.3390/su10103778

Assignment:

Now that you have R installed on your computer, you will begin to get some experience (hands-on) with the software. For this assignment, you are exposed to just 4 features of R: Arithmetic Operations; Operations on vectors; the Recycle Rule for adding/subtracting vectors; and Creating a S3 Class Object. A separate screen shot is required for execution of each feature. Open R (either command line or RStudio). Enter code that will handle the following (show all code, comment for each code line and the computed results in your screen shots). These are instructions; do NOT just write the instructions – actually show this within R and capture a readable screen shot to show that it works properly!!

Screen shot 1: Arithmetic Operations

assign a value of 144 to x

assign a value of 6 to y

add x and y

subtract y from x

multiply x times y

divide x by y

find the square root of x

Screen shot 2: Operations on vectors

create a vector (afc) and assign values 2,6,3

create a vector (nfc) and assign values 6,4,2

add afc and nfc

Screen shot 3: Recycle Rule for adding and subtracting vectors

assign values 2,1,8,3 to vector x

assign values 9,4 to vector y

add x to y

notice the warning message – use the Recycle Rule for adding vectors; then

add x to y and show results

subtract 1 from x – apply the Recycle Rule for subtracting vectors; then

subtract y from x and show results

Screen shot 4: Create an S3 Class Object

create a list – with components: name = Your name, date = today’s date, and score = score you desire on Assignment 2.

name the class as “graduate student”

Save the screen shots as a MS Word document (*.docx).

Discussion:

Why are statistical programming languages important to data scientists? What are some advantages and disadvantages the R programming language has over the other main statistical

programming languages (i.e. Python, SAS, SQL)?

When replying to a classmate, offer your opinion on what they posted comparing the R programming language to the other statistical programming languages. Using at least 3 – 5 sentences,

explain why you agreed or disagreed with their evaluation of the different statistical programming languages.

Requirements: as per question

This weeks reading mentioned various types of mobile attacks. In your own words state what types of attacks exists and the method of approach you would utilize to address the attack in an enterprise setting.

  Please state your answer in 500 words  with APA format. 

Apply Machine Learning Classification Models to Iris Flowers Dataset 

Write a program to apply Machine Learning classification models to Iris flowers dataset. Follow the steps:

1. Download the iris.csv file (example: https://gist.github.com/netj/8836201). From this file the label (target) is defined with the ‘variety’ column and the features with ‘epal.length’, ‘sepal.width’, ‘petal.length’, ‘petal.width’ columns.
2. Preprocess the iris.csv file by label encoding the target ‘variety’ column.
3. Apply the following Machine Learning classification models: K Nearest Neighbors and Random Forests
4. Calculate the following classification metrics to validate the model: Accuracy Score, Confusion Matrix and Classification Report
5. Explain how the program works and compare these two classification models

Requirements:

• Maximum four to five pages in length is required.
• You must include program code and results.
• You must include an explanation about how the program works.
• You must show your work for full credit.
• You must include a minimum of three credible sources. Use the Saudi Electronic Digital Library to find your resources.
• Your paper must follow Saudi Electronic University academic writing standards and APA style guidelines, as appropriate.

  The paper needs to be in APA format

a. Why are Hewlett Packard (HP) solutions good for consumers and the business? (1 page)

i. Describe any policies that they have for their customers, suppliers, shareholders, employees, and society at large. Are there any conflicting policies?

b. The target market for HP (1 page)

Does Hewlett Packard (HP) have multiple target markets? Do they compete against each other? 

I need at least 6 unique references that need to be journals or peer-reviewed articles. They need to be after 2010

Note : Please make sure read question properly and No plagiarism and No grammar mistakes and APA 7 format.

 After completing the reading this week, we reflect on a few key concepts this week:

1. Discuss what power in the context of leadership is and how it relates to bullying within organizations.  Also note how this impacts productivity.
2. Discuss what organizational culture is and how it impacts work productivity.  Also, note how organizational culture impacts the success of innovation implementation.
3. How does culture impact leadership? Can culture be seen as a constraint on leadership?

Please be sure to answer all the questions above in the initial post.Please ensure the initial post and two response posts are substantive.  Substantive posts will do at least TWO of the following:

• Ask an interesting, thoughtful question pertaining to the topic
• Expand on the topic, by adding additional thoughtful information
• Answer a question posted by another student in detail
• Share an applicable personal experience
• Provide an outside source
• Make an argument

At least two scholarly (peer-reviewed) resource should be used in the initial discussion thread.  Please ensure to use information from your readings and other sources from the UC Library.  Use APA references and in-text citations. 

Follow the instructions that I have attached on the pictures