Why IoT security is critical in IOT Protocols - See It in Action

Why IoT Security Is Critical

📖 Scenario: You are working as a junior DevOps engineer in a company that manages smart home devices. These devices connect to the internet and collect sensitive data. Your team wants to understand why securing these devices is very important to protect users and the company.

🎯 Goal: Build a simple data structure that lists common IoT security risks, add a threshold for risk severity, filter the risks that are above the threshold, and finally display the critical risks to the team.

📋 What You'll Learn

Create a dictionary called iot_risks with exact keys and integer severity values

Add a variable called severity_threshold with the value 7

Use a dictionary comprehension to create critical_risks with risks having severity greater than severity_threshold

Print the critical_risks dictionary

💡 Why This Matters

🌍 Real World

IoT devices are everywhere, from smart homes to factories. Securing them protects user privacy and prevents hackers from causing harm.

💼 Career

Understanding IoT security risks helps DevOps engineers design safer systems and respond quickly to vulnerabilities.

1

Create IoT security risks dictionary

Create a dictionary called iot_risks with these exact entries: 'Weak Passwords': 8, 'Unencrypted Data': 9, 'Outdated Firmware': 6, 'Insecure Network': 7, 'Lack of Authentication': 10.

IOT Protocols

# Create the iot_risks dictionary with given risk names and severity values
# Your code here

Need a hint?

Use curly braces to create a dictionary with keys as risk names and values as severity numbers.

2

Set severity threshold

Add a variable called severity_threshold and set it to 7.

IOT Protocols

iot_risks = {
    'Weak Passwords': 8,
    'Unencrypted Data': 9,
    'Outdated Firmware': 6,
    'Insecure Network': 7,
    'Lack of Authentication': 10
}
# Define severity_threshold variable with value 7
# Your code here

Need a hint?

Just assign the number 7 to the variable named severity_threshold.

3

Filter critical IoT risks

Use a dictionary comprehension to create a new dictionary called critical_risks that includes only the entries from iot_risks where the severity value is greater than severity_threshold.

IOT Protocols

iot_risks = {
    'Weak Passwords': 8,
    'Unencrypted Data': 9,
    'Outdated Firmware': 6,
    'Insecure Network': 7,
    'Lack of Authentication': 10
}
severity_threshold = 7
# Create critical_risks dictionary with risks having severity > severity_threshold
# Your code here

Need a hint?

Use dictionary comprehension syntax: {key: value for key, value in dict.items() if condition}.

4

Display critical IoT risks

Write a print statement to display the critical_risks dictionary.

IOT Protocols

iot_risks = {
    'Weak Passwords': 8,
    'Unencrypted Data': 9,
    'Outdated Firmware': 6,
    'Insecure Network': 7,
    'Lack of Authentication': 10
}
severity_threshold = 7
critical_risks = {risk: severity for risk, severity in iot_risks.items() if severity > severity_threshold}
# Print the critical_risks dictionary
# Your code here

Need a hint?

Use print(critical_risks) to show the filtered dictionary.