Anti Spam Filtering
 ePrism
is a total anti spam filter solution that delivers the most comprehensive
spam filter and mail management appliance available.
It features
a combination of easily managed white lists, Realtime Blackhole
List (RBL) lookups, Distributed Checksum Clearinghouse (DCC) bulk-mail
control and industry-leading Stastical Token Analysis (STA). With
local learning, ePrism provides complete control over the classification
of e-mail and its disposition. ePrism's spam control package is
highly accurate and has a low incidence of false positives.
ePrism gives
you the flexibility to control your spam management system. Built-in
flexibility will allow users to trap or block spam or to simply
tag the mail that is considered spam. This flexibility in a spam
filter limits the amount of time a mail administrator spends dealing
with users who think their mail is being deleted.
Overview
of ePrism's Automated Anti-Spam Filter Tools
ePrism provides
two complimentary mechanisms for controlling spam:
Rules-based
tools that can provide automated protection.
These are RBL (for identifying known spammers), DCC (for identifying
bulk mail) and STA (for advanced lexical analysis). Used properly,
these tools will handle the great majority of spam.
Locally-specified
filters for exceptions, overrides, whitelists and blacklists.
These tools allow you to avoid the problems that can come from over-reliance
on automated methods. It is inevitable that some spam will not be
caught by the tools mentioned; it is also inevitable that some mail
will be wrongly classified as spam (for example, mailing lists wrongly
marked as "bulk").
ePrism uses a combination of the following automated anti-spam tools
to provide a comprehensive spam filter.
Realtime
Blackhole Lists (RBLs)
RBLs are databases
of known spammers (or servers reported as sources of spam). There
are many of these, and St. Bernard provides a list of the better
known ones. Some of these lists are free; others charge an access
fee.
Distributed
Checksum Clearinghouse (DCC)
DCC, or Distributed
Checksum Clearinghouse, is based on a number of open servers (rather
like the RBL scheme) that maintain databases of message checksums
(derived numeric values that uniquely identify a message).
Statistical
Token Analysis (STA)
STA is a new,
sophisticated method of identifying spam based on content. It is
based on the latest application of Bayesian logic to the problem
of classifying mail by content.
|
