FTC works on spam front |
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By Jack Vaughan
14 Nov 2004 | SearchDomino |
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Spam filtering continues to vie for the post of "Job #1"
in IT shops worldwide. Recently, U.S. FTC commissioners
hosted a two-day summit to grapple with e-mail
authentication, once seemingly poised as a potent solution
for the spam problem. First attempts to make email more
traceable came up against some friction in Internet
circles.
While filtering of spam is a daily job – authentication
shows promise as a longer term remedy. Viewers suggest that
spammers will keep spamming, unless they can be held
accountable. Yet, the nature of the Internet to date has
been to embrace anonymity.
In a keynote introducing the FTC summit, Jon Leibowitz,
Federal Trade Commissioner, pointed to progress of several
authentication system proposals, including both IP-based and
signature based approaches. Said Leibowitz, "Any
authentication system should protect the privacy, anonymity
and free expression of noncommercial email users." As well,
he maintained, new systems should be backward compatible.
Just prior to the summit, a group of vendors urged a
phased intro incorporating multiple approaches and
technologies. Led by Cisco and others, the truste.org group
focused on the value of IP-based solutions rendered using
the Sender ID Framework (SIDF). This is a combination of SPF
(Sender Policy Framework) and the Microsoft Caller ID for
E-mail draft proposals, and it has recently been altered
based on input from the IETF MARID working group and
others.
Notes/Domino developers and admins can keep an eye of
these doings, but they must do the daily work of Bayesian
[and other] filtering as well. Extensions in Lotus Domino 6
seek to better enable the front-line worker in the anti-spam
battle. Lotus Notes/Domino features, just now in beta, are
expected to ease the filtering burden too.
IBM Lotus resources
Controlling
spam: Advanced SMTP settings in Lotus Domino
Lotus
Domino 6 spam Survival Guide for IBM eServer
FOR FUN
Bayesian
filtering
(plato/stanford.edu)
Baye
s's Theorem
(plato/stanford.edu)
Bayes's
bio (gap.st-and.ac.uk)
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