![spamassassin appliance spamassassin appliance](https://a.fsdn.com/con/app/proj/artica-postfix/screenshots/296079.jpg)
DSPAM's one central spam detection function incorporates advanced, concept-based statistical analysis. DSPAM's philosophy is based on the belief that machine-learning (basic artificial intelligence) can, in and of itself, solve the spam problem without the need for human-maintained rules, inaccurate blacklists, or any hodge-podge of solutions for that matter. These different tests range from heuristic "rules" which identify specific characteristics in spam to blacklists, and finally to limited Bayesian learning. SpamAssassin is designed with the arsenal (a.k.a cocktail or toolbox) philosophy and aggregates the results from a myriad of different spam detection tests with the hope that at least some of the components should detect an inbound spam. While both share the common goal of eradicating spam, the two solutions bear very different philosophies.Ĭocktail Approach vs. How is DSPAM different from SpamAssassin?Ī. The main differences according to their FAQ: Though this production makes me curious, what can DSPAM do for me that S-A cannot? SpamAssassin has served me well, as it has others. Still, I wonder what this does over Bayseain(sp?). Memory serving correctly Markovian is a process based on probablities and factors. Installation is easier? The Markovian aspect I find interesting. SpamAssassin most certainly has ClamAV integration, and Training Alias from what im aware of.
![spamassassin appliance spamassassin appliance](http://images.myshared.ru/5/367219/slide_6.jpg)
But im looking at the feature set described in this /.
#Spamassassin appliance software
Now then, SpamAssassin, that other Spam killer software thingy has always been my choice. A change log and release notes are also available. Much of the documentation has also been rewritten to make installation easier. Other significant enhancements include trusted sender whitelisting, integrated Clam Antivirus and LDAP support, a centralized spam training alias, and a new dependency-free storage driver. Version 3.6 also includes a highly accurate alternative to Bayesian filtering known as Markovian discrimination, based on Bill Yerazunis' research.
#Spamassassin appliance series
The most notable change is the series of new features added to make an anti-spam gateway appliance possible (Knoppix anyone?). After six months of development, DSPAM v3.6 has been released.