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This method also distorts statistics of anti-spam programs because it is usually unknown how many mails (Spam or otherwise) would have been received through a certain connection. Filtering by context includes methods like DNSBL lookups, domain or IP blacklists, etc.
Pages in category "Anti-spam" ... Challenge–response spam filtering; Chung Kwei (algorithm) Cleanfeed (Usenet spam filter) Context filtering; Cooperative database;
Pages in category "Spam filtering" The following 62 pages are in this category, out of 62 total. ... Anti-Spam SMTP Proxy; Anti-spam techniques;
The conclusion is that the purpose of greylisting is to reduce the amount of spam that the server's spam-filtering software needs to analyze, resource-intensively, and save money on servers, not to reduce the spam reaching users. The conclusion: "[Greylisting] is very, very annoying. Much more annoying than spam." [7]
While most spam emails are being caught by our spam filters, occasionally some can slip through. When this happens, it's important to mark the email as spam. This helps us make AOL Mail even better at recognizing future spam emails. Never interact with spam messages! Any link in a spam message, including the unsubscribe link, could be dangerous.
Anti-spam activist Daniel Balsam attempts to make spamming less profitable by bringing lawsuits against spammers. While this approach is financially sustainable for the activist, it is questionable whether it actually reduces spam, either for the activist or for anyone else. References
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