Hartung-Gorre Verlag
Inh.: Dr.
Renate Gorre D-78465
Konstanz Fon: +49 (0)7533 97227 Fax: +49 (0)7533 97228 www.hartung-gorre.de
|
S
|
Series in
Distributed Computing
edited by Roger Wattenhofer
Vol. 5
Keno
Albrecht
Mastering
Spam.
A Multifaceted Approach
with the Spamato Filter System.
1st edition/1. Aufl. 2007, 150 pages/Seiten, € 64,00.
ISBN 3-86628-126-9
Email
is undoubtedly one of the most important applications used to communicate over
the Internet. Unfortunately, the email service lacks a crucial security
mechanism: It is possible to send emails to arbitrary people without revealing
one's own identity. Additionally, sending millions of emails costs virtually
nothing. Hence over the past years, these characteristics have facilitated and
even boosted the formation of a new business branch that advertises products
and services via unsolicited bulk emails, better known as spam.
Nowadays,
spam makes up more than 50% of all emails and thus has become a major vexation
of the Internet experience. Although this problem has been
dealt
with for a long time, only little success (measured on a global scale) has been
achieved so far. Fighting spam is a cat and mouse game where spammers and
anti-spammers regularly beat each other with sophisticated techniques of
increasing complexity. While spammers try to bypass existing spam filters,
anti-spammers seek to detect and block new spamming tricks as soon as they
emerge.
In
this dissertation, we describe the Spamato spam filter system as a multifaceted
approach to help regain a spam-free inbox. Since it is impossible to foresee
future spam creation techniques, it is important to react quickly to their
development. Spamato addresses this challenge in two ways. First, it has been
designed to simplify the integration of multiple spam filters. By combining
their different capabilities, a joint strike against spam promises the
detection of more harmful messages than any individual solution could achieve.
And second, we actively support collaborative spam filters that harness the
collective knowledge of participating users. Such filters are therefore capable
of learning about and eliminating new types of spam messages at an early stage.
About
the author:
Keno Albrecht received his M.Sc.
degree in computer science (Dipl.-Inform.) from the University of Dortmund,
Germany in 2002. In the same year he joined the Distributed Computing Group of
Professor Roger Wattenhofer at ETH Zurich, Switzerland, as a Ph.D. student and
research assistant. In 2006 he earned his Ph.D. degree for his work on spam
filtering.
Keywords: spam, spam filter,
Internet, email, security, spammer, anti-spammers, Spamato spam filter system
Series
in Distributed Computing
Buchbestellungen in Ihrer
Buchhandlung, bei www.amazon.de
oder direkt:
Hartung-Gorre Verlag /
D-78465 Konstanz
Telefon: +49 (0) 7533
97227 Telefax: +49 (0) 7533 97228
http://www.hartung-gorre.de eMail: verlag@hartung-gorre.de