| Publisher | Isode | ||
|---|---|---|---|
| Format | HTML | Date added | 01 Jan 2008 |
| Topics | Security Management, Spam - E-mail Fraud - Phishing | ||
| Downloads | 0 | ||
This paper is about measuring false negatives. It is useful to explain why one is not attempting to apply similar systematic measurements to false positives. The most important issue is that each user has his or her own pattern of (real) messages. An anti-spam message will look at each incoming message and seek to determine whether or not it is spam. A consequence of this is that false positive rate will vary between users. Some users will only receive messages of a type that the anti-spam system will always correctly handle, and see a zero false positive rate. Other users will have varying rates of "Spammy" messages and as a consequence will see varying false positive rates.
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