Nicolas George wrote: > Hi. > > For years I have been using bogofilter as my main spam filter. But > nowadays, neural networks and machine learning have made enormous > progress. > > I wonder if there is somewhere in Debian a spam filter (working on the > same principles as bogofilter: a stand-alone program that reads a mail > from its input and outputs a diagnosis) based on these technologies and > that people find satisfactory. > > Any advice? > > Regards, >
I doubt there is something meaningful beyond bayesian spam filter. It is the most efficient way. Neural Network is a method, which would not apply very well to spam detection as it is more sophisticated and leads to unjustified overhead. This is my estimation only, but I spent few years studying some aspects of AI in the domain of text and speech processing and I think I would qualify for opinion. If I recall correctly bayesian method is based on providing probability by observing 1 item in context of 2 other items, which is scientifically proven to be most efficient. I recall there were statistics that you gain almost nothing if you add another 1 or 2 items to the context. At that time neural networks were introduced and we had few exercises, so I think I also know how basically NN works. Regarding spam I think sooner or later more mail providers will introduce more restrictive DKIM rules and spam should be reduced. So if you want a modern method of fighting spam install the dkim plugin to exim and try it out. It may take some effort to configure ... but it seems you are looking for a project to keep yourself busy. Condition is however to have a valid mail domain - it won't work with localhost or your ISPs IP. regards
