Exchange Spam Filter
Spam blocker
Exchange Spam Filter As debates over junk e-mail (or spam) rage,
there is controversy over how far e-mail filtering should go, as seen by
debates over a database called ORBS.
ORBS, or the Open Relay Behavior-Modification System (www.orbs.org), is
a database--with publicly downloadable data--for tracking SMTP servers
that have been confirmed to permit third-party e-mail relay. The
database is used by many organizations to filter out junk e-mail from
servers that broadcast spam.
An opposition group called StopORBS.org, however, contends that ORBS has
helped block thousands of mail servers that do not have open relays,
thus arbitrarily and unfairly restricting information flow on the
Internet.
StopORBS.org bills itself as an "organization of companies, non-profits,
individuals, and other Internet enthusiasts who are fed up with the way
ORBS controls e-mail on the Internet." The goal of the organization is
to rid the Internet of servers utilizing ORBS to filter e-mail.
Technology and legislation are both likely to have a big impact on spam
in coming years, and Internet service providers are likely to weigh in
as well. In a survey done by the Commercial Internet eXchange and the
Internet Law & Policy Forum, 75.9 percent of U.S.-based ISPs said that
spam significantly increases operating costs.
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For the latest information about
spam
The Goals of spam
The goal of spam
is to determine the intrinsic grouping in a set of unlabeled data. But
how to decide what constitutes a good spam? It can be shown that
there is no absolute “best” criterion which would be independent of the
final aim of the spam. Consequently, it is the user which must
supply this criterion, in such a way that the result of the spam
will suit their needs.
For instance, we could be interested in finding representatives for
homogeneous groups (data reduction), in finding “natural
clusters” and describe their unknown properties (“natural” data
types), in finding useful and suitable groupings (“useful” data
classes) or in finding unusual data objects (outlier detection).
For the latest information about
The Goals of spam
Who uses spam?
Many different types of organizations use
spam as a vital
part of the work. A sampling of these include:
-
Marketing:
finding groups of customers with similar behavior given a large
database of customer data containing their properties and past
buying records;
-
Biology:
classification of plants and animals given their features;
-
Libraries:
book ordering;
-
Insurance:
identifying groups of motor insurance policy holders with a high
average claim cost; identifying frauds;
-
City-planning:
identifying groups of houses according to their house type,
value and geographical location;
-
Earthquake
studies: spam observed earthquake epicenters to
identify dangerous zones;
-
WWW:
document classification; spam weblog data to discover
groups of similar access patterns.
For the latest information about
Exchange Spam Filter