Disk imaging and analysis in Cybersecurity - Mini Project: Build & Apply

Disk Imaging and Analysis Basics

📖 Scenario: You are a cybersecurity analyst tasked with creating a simple disk image record and analyzing its contents to understand the process of disk imaging and analysis.This project simulates the steps of capturing disk data and examining it for important information.

🎯 Goal: Build a basic disk image data structure, configure analysis parameters, extract key information, and finalize the analysis report structure.

📋 What You'll Learn

Create a dictionary representing a disk image with exact sector data

Add a configuration variable for the analysis threshold

Use a loop to identify sectors with data size above the threshold

Complete the analysis report by adding a summary field

💡 Why This Matters

🌍 Real World

Disk imaging is used in cybersecurity to capture exact copies of storage devices for investigation without altering original data.

💼 Career

Understanding disk imaging and analysis is essential for roles like digital forensic analysts, incident responders, and cybersecurity investigators.

1

Create the disk image data structure

Create a dictionary called disk_image with these exact entries representing sector data sizes: 1: 512, 2: 1024, 3: 256, 4: 2048, 5: 128

Cybersecurity

# Create the disk_image dictionary with sector data sizes
# Your code here

Need a hint?

Use curly braces to create a dictionary with sector numbers as keys and data sizes as values.

2

Set the analysis threshold

Create a variable called threshold and set it to 500 to use as the minimum data size for analysis.

Cybersecurity

disk_image = {1: 512, 2: 1024, 3: 256, 4: 2048, 5: 128}
# Create the threshold variable with value 500
# Your code here

Need a hint?

Just assign the number 500 to the variable named threshold.

3

Identify sectors above the threshold

Create an empty list called large_sectors. Use a for loop with variables sector and size to iterate over disk_image.items(). Inside the loop, add sector to large_sectors if size is greater than threshold.

Cybersecurity

disk_image = {1: 512, 2: 1024, 3: 256, 4: 2048, 5: 128}
threshold = 500
# Create large_sectors list and add sectors with size > threshold
# Your code here

Need a hint?

Use a for loop to check each sector's size and add the sector number to the list if it passes the threshold.

4

Complete the analysis report

Create a dictionary called analysis_report with two entries: 'threshold' set to the variable threshold, and 'large_sectors' set to the list large_sectors. Then add a new key 'summary' with the value 'Sectors above threshold identified'.

Cybersecurity

disk_image = {1: 512, 2: 1024, 3: 256, 4: 2048, 5: 128}
threshold = 500
large_sectors = []
for sector, size in disk_image.items():
    if size > threshold:
        large_sectors.append(sector)
# Create analysis_report dictionary with threshold, large_sectors, and summary
# Your code here

Need a hint?

Create the dictionary with the given keys and then add the summary key with the specified text.