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How URL Spam Filtering Beats Bayesian/Heuristics Hands Down

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25 out of 50 users found this white paper useful


Publisher Greenview Data
Publisher Registration Direct Access
Topics Spam - E-mail Fraud - Phishing, Security Management Date added 28 Sep 2005
Downloads 9 Format 95.3KB PDF

The evolution and sophistication of spam and spammers has sparked much debate as to which spam filtering methods are the most accurate. This whitepaper addresses issues and problems associated with Bayesian and Heuristic filtering solutions and argues that URL ("click me" link) filtering is the most accurate and predictable method of blocking spam. URL filtering does not require customer tuning and eliminates the need for Bayesian/Heuristic solutions which are error prone and unpredictable. Implementing URL filtering with conservative IP blacklists and very limited and specific heuristic filtering has the ability to solve spam with over 99% blocking, miniscule false-positive and without any customer tuning.

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25 out of 50 users found this white paper useful


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