Jim, I think your approach can identify a lot of spam, but if I was one of your users I would be very unhappy if it falsely identifies more than one (or perhaps two) non-spam emails as spam per month. I suggest you test your idea out and see how many false positives you get. If it doesn't work as you hope, there are a lot of people working on this problem using sophisticated methods to regularly publish white- and black-lists that you can obtain for free and use with free, well-built, server-based spam-filtering software to identify most spam without false positives. Have you had a chance to look at the Slamming Spam <http://www.slammingspam.com> book yet? As someone interested in this problem, I think you would find it enlightening. Scott ussailis at shaysnet.com wrote: > ** Be sure to fill out the survey/skills inventory in the member's area. > ** If you did, we all thank you. > > > But this is not what I am talking about. > > I see it on the small (really small) ISP receiving end. Many messages with > the same stuff, same header, same text, etc. Yes, much, much more spam is > randomized, has a different fake header, etc. But some does not. > > I also think that the number where one dumps it as spam is highly dependent > on the number of users a given ISP's server has. 4 or 5 would work for me. > Perhaps 2017 is the number for someone else. That's a TBD. > > > Jim Ussailis > -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.hidden-tech.net/pipermail/hidden-discuss/attachments/20080827/0da12b3f/attachment.html