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Slamming Spam: A Guide for System Administrators

Real Anti-Spam Help for System Administrators

In Slamming Spam, two spam fighters show you how to fight backand 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 enterpriseespecially 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

Whatever your IT environment and mail platform, Slamming Spam's defense in-depth strategies can help you dramatically reduce spam and all its attendant costsIT staff time, network/computing resources, and user productivity.

 

Table of Contents

   About the Author
   Preface
     Who This Book Is For
     What You Will Need
     How This Book Is Organized
     Conventions Used in This Book
     Acknowledgments
        Chapter 1.  Introduction
     Email Terminology
     Inbound Versus Outbound Spam
     (Mis)Classifications and Sidelining
     Fundamental Anti-Spam Techniques
     Other Anti-Spam Methods
     Designing an Anti-Spam Architecture
     Anti-Spam Design Notes
     Example Configurations
     Conclusion
        Chapter 2.  Procmail
     Installation
     Invoking procmail
     Delivery Agent Invocation
     Configuration
     Conclusion
        Chapter 3.  SpamAssassin
     SpamAssassin and MTA Integration
     Installing SpamAssassin
     SpamAssassin Scoring
     SpamAssassin Configuration
     Verifying SpamAssassin Operation
     SpamAssassin Configuration Files
     Administrator-Only Settings
     Conclusion
        Chapter 4.  Native MTA Anti-Spam Features
     Static Filters
     Sendmail
     Postfix
     Optional MTA Configuration Changes
     Conclusion
        Chapter 5.  SMTP AUTH and STARTTLS
     STARTTLS and MTAs
     Conclusion
        Chapter 6.  Distributed Checksum Filtering
     Vipul's Razor
     Distributed Checksum Clearinghouse
     Conclusion
        Chapter 7.  Introduction to Bayesian Filtering
     The Math
     Word Analysis
     Word Choice
     Training
     Efficacy and Attacks
     Other Bayesian Filtering Packages
     Advanced Techniques: Tokenization
     Advanced Techniques: Cleverer Statistics
     Conclusion
     References
        Chapter 8.  Bayesian Filtering
     How to Choose a Bayesian Analyzer
     How We Chose the Bayesian Analyzers
     CRM114
     ASSP
        Chapter 9.  Email Client Filtering
     To Filter or Not to Filter
     POPFile
     Mozilla Messenger
     Microsoft Outlook Express
     Microsoft Outlook
     Conclusion
        Chapter 10.  Microsoft Exchange
     Intelligent Message Filter
     Incoming Message Filtering
     Outbound Message Control
     McAfee SpamKiller for Exchange
     Conclusion
        Chapter 11.  Lotus Domino and Lotus Notes
     Lotus Domino
     Lotus Notes
     McAfee SpamKiller for Lotus Domino v2.1
     SMTP AUTH and STARTTLS
     Conclusion
        Chapter 12.  Sender Verification
     Sender Verification Background
     Installing Python
     Camram
     Active Spam Killer
     Tagged Message Delivery Agent
     Conclusion
        Appendix A.  Sender Policy Framework
     How SPF Works
     Publishing SPF Records
     Enforcing SPF Records
        Appendix B.  Reporting Spam
     Reading an Email Header
        Appendix C.  Default SpamAssassin Ruleset
     Area Tested
     Locale
     Description of Test
     Test Name
     Default Scores Assigned
     Sample Rules
        Appendix D.  SpamAssassin Command Line Interface Reference
     SpamAssassin Command Options
     spamd
     spamc
        Appendix E.  SpamAssassin Configuration File
     Privileged Settings
     General Settings
     Whitelist/Blacklist Options
     Bayesian
     Network Tests
     Ruleset and Scoring
     Tags
        Appendix F.  DSPAM
     Sidelining Versus Tagging
     Installation
        Appendix G.  References
     Introduction (Chapter 1)
     Procmail (Chapter 2)
     SpamAssassin (Chapter 3)
     Native MTA Anti-Spam Features (Chapter 4)
     Smtp Auth and Starttls (Chapter 5)
     Distributed Checksum Filtering (Chapter 6)
     Introduction to Bayesian Theory (Chapter 7)
     Bayesian Filtering (Chapter 8)
     Email Client Filtering (Chapter 9)
     Microsoft Exchange (Chapter 10)
     Lotus Domino and Lotus Notes (Chapter 11)
     Sender Verification (Chapter 12)
     Sender Policy Framework (Appendix A)
     Reporting Spam (Appendix B)
     Dspam (Appendix F)
   Index

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