Instructions

You must use the template I provided for this assignment since it will make it a lot easier for you. Failure to do so will result in a return of your paper for you to redo, a reduction in points, or both.

The final assignment has four parts. 

The first part involves picking something you found interesting from weeks one and two that you did not already write about in a forum or the first paper, exploring it beyond the readings, and expanding on it in a paper. This section of your paper must be at least three total pages long.

The second part involves picking one of the critical infrastructures you learned about in weeks three or four and writing about it using the six guidelines below.  You cannot write about the critical infrastructure you wrote about in either your first two papers or a forum.

The third part involves picking one of the critical infrastructures you learned about in weeks four or five and writing about it using the six guidelines below. You cannot write about the critical infrastructure you wrote about in the first two papers or a forum.

The final part of your paper involves picking something you found interesting from weeks six, seven, or eight that you did not already write about in a forum, exploring it beyond the readings, and expanding on it in a paper. This section of your paper must be at least three total pages long.

It is up to you to decide what will be the most interesting for you! 

You need to use the following outline for each of the two critical infrastructures:

• Provide a Hypothetical Threat (cyber, natural disaster, or physical)
• Brief background on the Critical Infrastructure as it relates to National Security
• Elaborate on the known Risks/Threats/Hazards/Vulnerabilities from the Hypothetical Threat
• Explain how damage from the Hypothetical Threat could impact the Dependencies/Interdependencies between critical infrastructure sectors
• Existing Resiliency related to the Continuity of Operations
• Consider how to Minimize Disruption that improves First Responder Safety. 

Technical Requirements

• Write at least ten pages, per the guidance above, and include the title page, an abstract, and a reference page (these last three items are not part of the total page count).
• Scholarly and credible references should be used. A good rule of thumb is at least two sources per content page.
• Type in Times New Roman, 12 point, and double-spaced.
• Students will follow the current APA Style (7th Edition) as the sole citation and reference style used in written work submitted as part of coursework. 
• Points will be deducted for the use of Wikipedia or encyclopedic-type sources. It is highly advised to utilize books, peer-reviewed journals, articles, archived documents, etc.
• All submissions will be graded using the assignment rubric.

Learning Objectives and Outcomes

Research information about Linux forensic investigations and appropriate tools.

Identify and describe three websites that provide highly relevant information to Linux forensic investigations.

Assignment Requirements

You are an experienced digital forensics specialist for DigiFirm Investigation Company. DigiFirm is involved in an investigation of a large corporation accused of unauthorized access of a competitor’s database to obtain customer information. The DigiFirm team will be responsible for the forensic investigation of the seized computers that are running Linux.

Chris, your team leader, has asked you to research information and tools that the team can use during the investigations.

For this assignment:

Research websites that provide information or tools for Linux forensic investigations.

Write a report that describes three of the most promising websites in detail and discusses why these resources might be helpful in a forensic examination.

Required Resources

Course textbook

Internet access

Submission Requirements

Format: Microsoft Word

Font: Arial, size 12, double-space

Citation Style: Follow your school’s preferred style guide

Length: 1–2 pages

Self-Assessment Checklist

I researched websites that provide information or tools for Linux forensic investigations.

I wrote a report that describes three of the most promising websites in detail and discusses why these resources might be helpful in a forensic examination.

I created a professional, well-developed report with proper documentation, grammar, spelling, and punctuation.

Using the LC-3 simulator, construct an assembly-level program (write the complete assembly code for lc3 simulator) that prompts the user for a

starting address (in hex) and an ending address (in hex). Your program will then output the contents of

memory (in hex) between the provided ranges (inclusive).

  1. Question Formulation (10 points): You need to devise a question that can be  answered through data analysis. This question should be of your own creation,  and it should reflect your curiosity and interest. 

2. Data collection (15 points): You are responsible for finding the appropriate  dataset that aligns with your chosen question. Ensure that the data is clean and  organized for analysis. If you don’t know where to find the data set, you can use  Kaggle.com It can give you more inspiration about the question formulation and  data collection. You need to state where you get your data from in order to  receive credits.

 3. Exploratory Data Analysis (30 points): Conduct an EDA to understand the  characteristics of your dataset. This step will help you gain insights and identify  patterns in the data. (Similar to Assignment 2.) Here are some key components of  EDA I am expecting from your paper: (6 points for each following component (if  your EDA does not have any categorical variable), or 5 points each (if your EDA  has the analysis of categorical variables.) 

1) summary statistics: compute basic statistics for the dataset, such as mean,  median, standard deviation, minimum, maximum, and quartiles. It provides an  overview of the data’s central tendencies and spread.

 2) Data Visualization: Create various plots and charts to visualize the data’s  distribution and relationships. Common visualization tools include histograms, box  plots, scatter plots, bar graphs, and line graphs.

 3) Data Distribution: Examine the distribution of individual variables. This helps in  identifying whether the data is normally distributed, skewed, or exhibits other  patterns. Understanding the distribution can influence the choice of statistical  tests and modeling techniques.

 4) Correlation Analysis: Determine the relationships between variables using  correlation coefficients or scatter plots. It can reveal potential associations and  dependencies between variables. 

5) Categorical Variables (If your data involves this type of variable and you think it  is important to answer your question. If the categorical variables are not that  important to answer your questions, don’t worry about it.): Explore the  distribution of categorical variables using frequency tables, bar charts, or pie  charts.

 6) Hypothesis Generation: Eventually your exploratory data analysis can lead to  the formulation of hypotheses about relationships or patterns in the data to  answer your question or guide further analysis.

 4. Machine Learning (15 points): Apply a machine learning algorithm to address  your question. You are only required to choose one type of algorithm for this  mini-project but you may have to run it multiple times with different variables,  and you will decide what it is best for your result. You have the flexibility to  choose from the algorithms we’ve learned in class, but make sure the selected  algorithm is appropriate for your data. Alternatively, if you find a specific  algorithm outside of your class materials that suits your needs, you are welcome  to use it. 

5. Project Structure (20 points): While this is a mini-project, your report should  follow a structure similar to a combination of Assignment 2 and Assignment 3.  This means it should include sections for introduction, Data collection and  Preprocessing, EDA, Machine Learning, Results and Discussion, and Conclusion. 

6. Data Attribution and References (10 points): In the conclusion section of your  report, make sure to include a subsection titled “Data Attribution and  References.” In this subsection, provide a detailed list of the sources where you  obtained your data, including the dataset name, the organization or website from  which it was sourced, and any relevant publication or citation information. Additionally, if you consulted external research papers, articles, or resources  during your project, please list these references in the same section.

 General Requirements 

1) You will need to write up your questions, findings, interpretations, and results for  this assignment. It will be a great idea to screenshot your codes, results, and graphs  so that you can explain your findings along with them. (It is also easier for me to  follow you when I read your paper). A pdf file is required. There is no page limit but  try to be straightforward with your answers.  

2) The py file that you have used to finish your assignment. (It may be a duplicate or  somewhat duplicate of the screenshots that you have inserted in your paper but  that is okay. I would like to look over your codes.)