Telecom Security White Papers
Winning the Battle Against Image-based Spam
Overview
Mounting an effective defense against image-based spam requires detection techniques that can evolve as quickly as the attacks themselves. Without the ability to automatically adapt and detect new types of threats, an anti-spam solution will always be a step behind the spammers.
Read this white paper from Proofpoint, Inc. to learn:
- Why traditional spam detection technologies such as Bayesian-based and signature-based products are failing to detect image-based spam.
- Techniques spammers are using to confuse spam filters, such as image obfuscation, animated GIFs, etc.
- The relationship between rising inbound email volumes, spam filter effectiveness, and end-user perception about the quality of your existing spam filter.
- How Proofpoint MLX technology leverages machine learning techniques to identify even the newest spam attacks -- without manual tuning or administrator intervention.
| Publisher | Proofpoint | File Format | |
|---|---|---|---|
| Date Published | December 2006 | Downloads | 3 |
| Format | White Papers | ||
| Topics | |||
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