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View Article  Industry Classification Index for Email Sources
Excerpt

Classification may be the work of Reputation Collectors, or of Reputation Aggregators, or perhaps ideally an open system that can handle a "source" record. Source is who put this record in, who thinks the classification is X.

You can then choose which source(s) you will use/trust. You could selectively drop (ignore) sources you find you don't want to trust. You could set up your own interpretation / voting:

- Source "ReSpam" says this sender is a school

- Source "Montgomery Report" says this sender allows anonymous webmail signups and has no outbound rate limiting.

I am not suggestion that this classification system become a reputation system unto itself, with evidence files or an unlimited number of data points. Rather that it stick to a narrowly defined area of "classifications useful in differentiating characteristics of email sources." Other reputation collectors could reference the ID or classification numbers in this system if they wished to, and attach other data points within their own databases.   more »

View Article  Meng Wong's Karma project
 Meng Wong has a prototype project called Karma - so far I have found this page on it from July ...   more »
View Article  Brains or Brawn: Email Reputation Aggregators
Aggregation is in my opinion a must. Blacklists alone will miss 40% of the spam we see. Requirements for passing "authentication only" are easily met by spammers. Purely statistical methods do not achieve 100% accuracy because the human judgement and research currently done by the most trusted black and white list operators is needed as an adjunct.
   more »