Mobile device forensics in Cybersecurity - Mini Project: Build & Apply

Mobile Device Forensics Basics

📖 Scenario: You are part of a cybersecurity team tasked with understanding the basics of mobile device forensics. Your goal is to organize key information about mobile device forensics into a clear structure that can be used for training new team members.

🎯 Goal: Create a structured summary of mobile device forensics concepts, including types of data collected, common tools used, and basic steps in the forensic process.

📋 What You'll Learn

Create a dictionary named forensics_data with exact keys and values for types of data collected

Add a list named tools containing exact names of common forensic tools

Write a loop using step as the iterator to list the basic forensic process steps

Add a final key summary to the dictionary with a concise description of mobile device forensics

💡 Why This Matters

🌍 Real World

Mobile device forensics is used by cybersecurity professionals and law enforcement to recover and analyze data from phones and tablets during investigations.

💼 Career

Understanding how to organize and summarize forensic data is essential for roles in digital forensics, cybersecurity analysis, and incident response.

1

Create the initial data structure

Create a dictionary called forensics_data with these exact entries: 'data_types' mapped to a list containing 'Call Logs', 'Messages', 'Photos', and 'App Data'.

Cybersecurity

# Create the forensics_data dictionary with data_types list
# Your code here

Need a hint?

Use a dictionary with a key 'data_types' and assign it a list of the four exact strings.

2

Add a list of common forensic tools

Add a list called tools containing the exact strings 'Cellebrite UFED', 'Oxygen Forensic Detective', and 'Magnet AXIOM'.

Cybersecurity

forensics_data = {
    'data_types': ['Call Logs', 'Messages', 'Photos', 'App Data']
}
# Create the tools list with three forensic tool names
# Your code here

Need a hint?

Create a list named 'tools' with the three exact tool names as strings.

3

List the basic forensic process steps

Write a for loop using step as the iterator to go through the list ['Seizure', 'Imaging', 'Analysis', 'Reporting'] and add each step to a new list called process_steps.

Cybersecurity

forensics_data = {
    'data_types': ['Call Logs', 'Messages', 'Photos', 'App Data']
}
tools = ['Cellebrite UFED', 'Oxygen Forensic Detective', 'Magnet AXIOM']
# Create an empty list called process_steps
# Use a for loop with iterator step to add each forensic process step
# Your code here

Need a hint?

Initialize an empty list 'process_steps' and use a for loop with 'step' to add each string from the given list.

4

Add a summary description to the dictionary

Add a new key 'summary' to the forensics_data dictionary with the exact string value 'Mobile device forensics involves collecting and analyzing data from phones and tablets to support investigations.'

Cybersecurity

forensics_data = {
    'data_types': ['Call Logs', 'Messages', 'Photos', 'App Data']
}
tools = ['Cellebrite UFED', 'Oxygen Forensic Detective', 'Magnet AXIOM']
process_steps = []
for step in ['Seizure', 'Imaging', 'Analysis', 'Reporting']:
    process_steps.append(step)
# Add the summary key with the exact description string to forensics_data
# Your code here

Need a hint?

Assign the exact summary string to the 'summary' key in the 'forensics_data' dictionary.