Telecom Security White Papers

Winning the Battle Against Image-based Spam

• Tags:
• telecom security,
• spam,
• techniques,
• detection

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.

• 
• Did you find this white paper useful? 6 out of 11 users found this white paper useful

• Subscribe to the IT White Papers Newsletter
• White Paper RSS