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Spam Links Index > Filter > FAQs

To link to this page use: http://spamlinks.net/filter-faqs.htm

Spam Filtering FAQs

Don't jump the gun! Read the Frequently Asked Questions (FAQs) page if you haven't a clue what you are doing.

[top] [index]

• General Filtering
• Collaborative
• Stamps/Tokens/Payment
• Machine Learning
• Meetings

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General Spam Filtering

Principles and specific examples on how to filter spam on a server level;
find implementations at Server Side Spam Filtering

http://www.ii.com/internet/faqs/launchers/mail/filtering-faq/
http://ist.uwaterloo.ca/~reggers/spammers/filter.html
http://www.ee.umd.edu/medlab/filter/papers.html

http://www.spews.org/packetreject.html (router blocking)
http://www.spews.org/dnsdeny.html (DNS blocking)
http://www.albury.net.au/netstatus/technical.stuff/ (null routing customers)
http://spam.abuse.net/adminhelp/ip.shtml (router blocking)
http://www.er6.eng.ohio-state.edu/mail_blocking.html
See Using DNS Blackhole Lists (DNSBLs)

http://www.spamcon.org/directories/server-filters.shtml
http://www.geocities.com/SiliconValley/Peaks/5799/filter.html
http://www.sprocket.com/Security/Stopping-UCE.html
http://people.delphi.com/lfirrantello/nospam/spamtools.html
http://www.brettglass.com/spam/paper.html
http://ist.uwaterloo.ca/security/howto/2000-09-27/
http://www.acme.com/mail_filtering.html
http://www.absoluta.org/seguranca/seg_spam.htm (In Spanish)
http://www.onet.on.ca/Technical.References/spamtech.html
http://perl.plover.com/lp/Spam.html
http://overcomeemailoverload.com/advice/AntiSpamTools.html
http://xcski.com/~ptomblin/spam.html
http://www-106.ibm.com/developerworks/linux/library/l-spamf.html?t=gr,lnxw15=SFT
http://mailservices.web.cern.ch/MailServices/docs/problems/spam/spam-filters.htm
http://www.ciac.org/ciac/bulletins/i-005c.shtml
http://www.paulgraham.com/falsepositives.html
http://deny-spammers.sourceforge.net/
http://martinh.net/antispam/
http://www.redearthsoftware.com/spam-filter-article.htm
http://www.ii.com/internet/messaging/spam/
http://www.slowlists.org/

[top] [index]

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Collaborative or Distributed Spam Filtering

Using shared data to fine-tune filtering algorithms.

http://www.sims.berkeley.edu/resources/collab/
http://jamesthornton.com/cf/
http://pespmc1.vub.ac.be/COLLFILT.html
http://home.earthlink.net/~marvinglenn/dbl/

[top] [index]

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Spam Stamps/Tokens/Payment

http://www-2.cs.cmu.edu/~sef/spam-discussion.htm
http://research.microsoft.com/research/sv/PennyBlack/
http://fare.tunes.org/articles/stamps_vs_spam.html
http://www.tundraware.com/Technology/Knock-Knock/
http://www.spamstamp.org/
http://www.mall-net.com/spam/
http://www.camram.org/
http://www.cypherspace.org/hashcash/
http://www.captcha.net/
http://www-2.cs.cmu.edu/~sef/spam-discussion.htm
http://patft.uspto.gov/netacgi/nph-Parser?patentnumber=6356935
http://patft.uspto.gov/netacgi/nph-Parser?patentnumber=6085321
https://ssl.dizum.com/hashcash/
http://harvee.billerica.ma.us/camram/
http://whitelist.com/MLMArticle.html

[top] [index]

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Machine Learning Spam Filters

Learning how to filter, rather than building rules manually.

[top] [index]

• Text Classification
• Artificial Intelligence
  

Spam Text Classification

First implemented in several client side spam filters, it now holds much more potential as part of a server side spam filter,
or as a feed for a DNSBL with less serious collateral damage. Baye's theorem is the buzzword of the day.

Paul Graham has a list of implementations of such spam filters: http://www.paulgraham.com/filters.html

http://www.paulgraham.com/spam.html (Japanese version: http://www.shiro.dreamhost.com/scheme/trans/spam-j.html)
http://liinwww.ira.uka.de/bibliography/Ai/MLSpamBibliography.html
http://xxx.lanl.gov/abs/cs.CL/0006013
http://research.microsoft.com/~horvitz/junkfilter.htm
http://radio.weblogs.com/0101454/stories/2002/09/16/spamDetection.html
http://www.ics.forth.gr/~potamias/mlnia/paper_2.pdf
http://www.paulgraham.com/better.html
http://www.randomhacks.net/stories/bayesian-whitelisting.html
http://www.idsia.ch/~zaffalon/papers/uai-2002.pdf
http://odur.let.rug.nl/~gosse/Spam/email_classificatie.html
http://www.mscs.mu.edu/~vjain/DataMining/SpamFilter/docs/ProjectProposal.pdf
http://tlb.org/spamcolor.html
http://www.cs.utexas.edu/users/jp/research/email.paper.pdf
http://spambayes.sourceforge.net/background.html
http://www.cs.jhu.edu/~jason/465/PowerPoint/lect33-textcat.ppt
http://www.ai.mit.edu/~jhbrown/spamfiltering.html

[top of section] [top] [index]

Artificial Intelligence Spam Filters

http://irresponsiblecybernetics.com/amispamornot.php
http://www.engin.umd.umich.edu/CIS/course.des/cis479/projects/FISA.html

[top of section] [top] [index]

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Spam Filtering Meetings

http://www.paulgraham.com/spamconference.html
http://www.overcomeemailoverload.com/antispam/2003SpamConfNotes.html
http://popfile.sourceforge.net/SpamConference011703.ppt
http://www.daviddlewis.com/publications/slides/lewis-2003-0117-spamconf.html
http://www.apnic.net/meetings/archive/bofs/index.html#network
http://www.ftc.gov/bcp/workshops/spam/

[top] [index]

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