What is ransomware, and how does it affect victims?

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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.

Ransomware is a type of malicious software (malware) designed to block access to a computer system or encrypt its data, then demand payment—often in cryptocurrency—for restoring access.

Here’s how it typically works:

1. Infection – Ransomware often arrives via phishing emails, malicious downloads, compromised websites, or exploiting software vulnerabilities.

2. Encryption or Lockout – Once executed, it either encrypts files (making them unreadable without the decryption key) or locks the system entirely.

3. Ransom Demand – The attacker presents a message demanding payment, usually with a time limit and threats of permanent data loss or public release of stolen information.

4. Payment & (Sometimes) Decryption – Even if the ransom is paid, there’s no guarantee the attacker will provide the key or that the decryption will work.

Effects on victims:

• Data loss – Files may be permanently inaccessible.

• Financial damage – Paying the ransom, costs of system recovery, and potential fines.

• Operational disruption – Downtime can halt business operations for days or weeks.

• Reputational harm – Customers and partners may lose trust, especially if data is leaked.

• Psychological stress – Victims often experience panic, frustration, and helplessness.

Some ransomware variants now also steal data before encrypting it—this is called double extortion—and threaten to publish it if payment isn’t made.

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