Real Anti-Spam Help for System Administrators
In Slamming Spam, two spam fighters show you how
to fight back—and win. Unlike most spam books, this one
is written specifically for in-the-trenches system administrators: professionals who need hands-on solutions for detecting, managing, and deterring spam in Unix/Linux and/or Microsoft Windows environments.
The authors offer deep, administrator-focused coverage
of the most valuable open-source tools for reducing spam's impact in the enterprise—especially SpamAssassin. Drawing
on their extensive experience in developing and implementing anti-spam tools, the authors present expert insights into every leading approach to fighting spam, including Bayesian filtering, distributed checksum filtering, and email client filtering.
Coverage includes
- Step-by-step junk mail filtering with Procmail
- Protecting Sendmail, Postfix, qmail, Microsoft Exchange,
and Lotus Domino servers from spam
- Making the most of native MTA anti-spam features,
including whitelists/blacklists, DNS black hole services,
and header checking
- Distributed checksum filtering solutions, including Vipul's
Razor and Distributed Checksum Clearinghouse
- McAfee SpamKiller for Lotus Domino
- McAfee SpamKiller for Microsoft Exchange
- Implementing and managing SpamAssassin
- Implementing SMTP AUTH, providing effective outbound
SMTP authentication and relaying with any mail client; and
STARTTLS, encrypting outbound mail content, user names,
and passwords
- Sender verification techniques, including
Challenge/response, special use addresses, and sender
compute
- Anti-spam solutions for Outlook, Outlook Express, Mozilla
Messenger, and Unix mail clients
Whatever your IT environment and mail platform, Slamming Spam's defense in-depth strategies can help you dramatically reduce spam and all its attendant costs—IT staff time, network/computing resources, and user productivity.
Chapter 1 Introduction
Chapter 2 Procmail
Chapter 3 SpamAssassin
Chapter 4 Native MTA anti-spam features
Chapter 5 SMTP AUTH and STARTTLS
Chapter 6 Distributed checksum filtering
Chapter 7 Introduction to Bayesian filtering
Chapter 8 Bayesian filtering
Chapter 9 Email client filtering
Chapter 10 Microsoft Exchange
etc.