How can public Wi-Fi pose a cybersecurity risk?

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Supervised and Unsupervised Learning are two primary types of machine learning, differing mainly in how they process and learn from data.

Public Wi-Fi can pose a cybersecurity risk because it’s often unsecured or poorly secured, making it easier for attackers to intercept or manipulate your online activity.

Key risks include:

1. Man-in-the-Middle (MitM) attacks – Hackers position themselves between you and the Wi-Fi network to eavesdrop on your communications, capturing passwords, banking details, or messages.

2. Unencrypted traffic – If the network doesn’t use encryption (like WPA3 or at least WPA2), data you send and receive can be read by anyone nearby.

3. Rogue hotspots – Attackers set up fake Wi-Fi networks with names like “Free Airport Wi-Fi” to lure you in and capture your data.

4. Malware injection – Cybercriminals can inject malicious code into websites or files you access over the network.

5. Session hijacking – By stealing cookies or tokens, attackers can take over your logged-in accounts without needing your password.

6. Tracking & profiling – Some public Wi-Fi providers or malicious actors may log your browsing activity for data harvesting.

Safer practices for using public Wi-Fi:

• Use a VPN to encrypt your traffic.

• Avoid online banking or sensitive logins on public networks.

• Disable automatic Wi-Fi connections.

• Turn off file sharing and AirDrop/Bluetooth when not in use.

• Use HTTPS-only websites.

In short, public Wi-Fi is like shouting a private conversation in a crowded café—you never know who’s listening.

If you want, I can show you exactly how a hacker can sniff data on public Wi-Fi so you see why these risks are real.

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