Master of Science thesis Fighting Spam

Appendiks C Litteratur
I følgende referencer optræder en række internetadresser, hvis indhold kan have ændret
sig på nuværende tidspunkt. Derfor understreges det, at der er refereret til
internetadressernes indhold i Januar og Februar 2005.
[1] The Time Overhead of Email, A Ferris Research White Paper, Dec 2003
[2] The Cost of Spam, A Ferris Research White Paper, March 2003
[3] DNS Blacklist
[4] Spam Cannibal
www.solarwinds.net
www.spamcannibal.org.
[5] MAPS (Mail Abuse Prevention System)
[6] Postini Statistics
171
www.mail-abuse.org
www.emcs.net/Protection/statistics.htm
[7] Sahami, M., Dumais, S., Heckerman, D., and Horvitz, A Bayesian approach to
filtering junk e-mail, 1998.
[8] SpamFighter
[9] Razor
www.spamfighter.com
razor.sourceforge.net
[10] Distributed Checksum Clearinghouse
[11] Brightmail
www.rhyolite.com/anti-spam/dcc
www.brightmail.com, Symantec corporation, www.symantec.com
[12] Filtering Technologies in Symantec Brightmail AntiSpam 6.0, Symantec
Corporation.
[13] SpamAssassin
www.spamassassin.apache.org,
[14] C. Dwork et al, Pricing via Processing, Combatting Junk Mail, 1992
[15] C. Dwork et al, On Memory-Bound Functions for Fighting Spam
[16] HashCash
www.hashcash.org
[17] M. Abadi et al, Moderately Hard, Memory-bound Functions
[18] IBM Systems Journal Vol 41, No 4, 2002
[19] M.Abadi et al, Certified Email with a Light Online Trusted Third Party: Design
and Implementation, Maj 2002
[20] Bruce Schneier & James Riordan, A Certified E-Mail Protocol
[21] Cashette
www.cashette.com
[22] Lorrie Faith Cranor and Brian A. LaMacchia, Spam!, Communications of the
ACM. Vol. 41, No. 8, Aug. 1998
[23] GnuPG
www.gnupg.org