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| To indiscriminately send unsolicited, unwanted, irrelevant, or inappropriate messages, especially commercial advertising in mass quantities. Noun: electronic "junk mail". |
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| Spam is growing exponentially, with no signs of abating. The amount of spam users see in their mailboxes is just the tip of the iceberg, since spammers' lists often contain a large percentage of invalid addresses. |
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1978 - An e-mail spam is sent to 600 addresses.
1994 - First large-scale spam sent to 6000 newsgroups, reaching millions of people.
2005 - (June) 30 billion per day
2006 - (June) 55 billion per day
2006 - (December) 85 billion per day |
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| MAAWG estimates that 80-85% of incoming mail is "abusive email", as of the last quarter of 2005. The sample size for the MAAWG's study was over 100 million mailboxes. |
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Our special in house developed anti-spam techniques involve the using of the following technologies in order to stop spam:
- RBL: Real-time Blackhole List
- Spamassassin: regarded as one of the most effective SPAM filters, especially when used in combination with SPAM databases. While simple text-matching alone may, for most users, be sufficient to correctly classify a majority of incoming mail the complexity involved in the combination of the comparison of words and symbols used in conjunction with the sources of SPAM may far exceed the average user's capability.
- SARE: SpamAssassin Rules Emporium
- Razor: a checksum-based, distributed, collaborative, spam-detection-and-filtering network. Through user contribution, Razor establishes a distributed and constantly updating catalogue of spam in propagation that is consulted by email clients to filter out known spam. Detection is done with statistical and randomized signatures that efficiently spot mutating spam content.
- DCC: Distributed Checksum Clearinghouse
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