Threat actors and motivations in Cybersecurity - Mini Project: Build & Apply

Understanding Threat Actors and Their Motivations

📖 Scenario: You are part of a cybersecurity awareness team at a company. Your task is to create a simple reference guide that lists common types of threat actors and their motivations. This guide will help your colleagues understand who might attack computer systems and why.

🎯 Goal: Build a clear list of threat actors with their motivations using a dictionary data structure. This will serve as a quick reference for your team.

📋 What You'll Learn

Create a dictionary named threat_actors with exact entries for actor types and their motivations

Add a variable named focus_motivation to specify a motivation to filter by

Use a dictionary comprehension to create a new dictionary filtered_actors containing only actors with the specified motivation

Add a final statement that assigns the count of filtered actors to a variable named count_filtered

💡 Why This Matters

🌍 Real World

Understanding different types of threat actors and their motivations helps cybersecurity teams prepare defenses and educate employees about potential risks.

💼 Career

Cybersecurity analysts and awareness trainers use this knowledge to identify threats and explain them clearly to non-technical staff.

1

Create the threat actors dictionary

Create a dictionary called threat_actors with these exact entries: 'Hackers': 'Financial gain', 'Insiders': 'Sabotage', 'Nation States': 'Espionage', 'Hacktivists': 'Political motives', 'Cybercriminals': 'Financial gain'

Cybersecurity

# Create the threat_actors dictionary with specified entries
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys and values separated by colons.

2

Add a motivation filter variable

Add a variable called focus_motivation and set it to the string 'Financial gain' to specify which motivation to filter by.

Cybersecurity

threat_actors = {
    'Hackers': 'Financial gain',
    'Insiders': 'Sabotage',
    'Nation States': 'Espionage',
    'Hacktivists': 'Political motives',
    'Cybercriminals': 'Financial gain'
}
# Define focus_motivation variable
# Your code here

Need a hint?

Assign the string 'Financial gain' to the variable focus_motivation.

3

Filter threat actors by motivation

Use a dictionary comprehension to create a new dictionary called filtered_actors that includes only the entries from threat_actors where the motivation matches focus_motivation.

Cybersecurity

threat_actors = {
    'Hackers': 'Financial gain',
    'Insiders': 'Sabotage',
    'Nation States': 'Espionage',
    'Hacktivists': 'Political motives',
    'Cybercriminals': 'Financial gain'
}

focus_motivation = 'Financial gain'

# Create filtered_actors dictionary using comprehension
# Your code here

Need a hint?

Use {key: value for key, value in dict.items() if condition} to filter dictionary entries.

4

Count the filtered threat actors

Add a variable called count_filtered and set it to the number of entries in filtered_actors using the len() function.

Cybersecurity

threat_actors = {
    'Hackers': 'Financial gain',
    'Insiders': 'Sabotage',
    'Nation States': 'Espionage',
    'Hacktivists': 'Political motives',
    'Cybercriminals': 'Financial gain'
}

focus_motivation = 'Financial gain'

filtered_actors = {actor: motive for actor, motive in threat_actors.items() if motive == focus_motivation}

# Count the filtered actors
# Your code here

Need a hint?

Use len() to find how many items are in the dictionary filtered_actors.