Spam prevention and detection
Spam

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Spam prevention and detection


Spam

Author : Sophie GASTELLIER-PREVOST

Publication date: April 10, 2009 | Lire en français

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3. Spam prevention and detection

It's important to note that even if a message is detected and classified as "spam", it is still delivered to its recipient. This can be disastrous if the spam in question carries illicit content and the user activates it (by looking at the email attachment, clicking on the web link).

However, this is often counterbalanced by the anti-spam tool used, which adds a "spam" or "super-spam" label to the subject line and deactivates suspected fraudulent links and content.

3.1 Ideal spam filter

The goal of the ideal anti-spam solution is to detect and classify 100% of spam and let 100% of good messages through.

In technical terminology, this translates into : 100% spam detected, 0% false positives and 0% false negatives....

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