Spam Detection Algorithm Analysis

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Spam Detection Algorithm Analysis

• By
• Joseph LaFata
• Alex Wade

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Problem

• Spam is a problem on the Internet
• Wastes bandwidth
• Wastes time
• General Annoyance

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Overview

• ISP and Email Servers are constantly needing new
  ways to fight spam
• Spammers are not sitting still
• Coming up with new ways to evade spam filters
• Development of new prevention techniques always
  needed

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Proposal

• Study different spam prevention techniques
• Develop framework for training and testing new
  algorithms

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Spam Detection Techniques

• Look into common algorithms to prevent spam
• Implement at least three
• Attempt to develop new or hybrid algorithms

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Framework

• Provide Training emails
• Spam
• Valid Email
• Easily add new algorithms
• Keep Metrics
• How accurate is it?
• How long did it take to run?

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Questions?
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Timeline

• Week 1 Collect Spam\Valid Email
• Week 2 Write Framework for training and testing
• Week 3 Implement Spam Filter 1
• Week 4 Implement Spam Filter 2 and 3
• Week 5 Test, Collect Results, Write Paper

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Spam Filters

• Spam Bayes
• Lookup Sending Host
• Presence of only images
• Further techniques will be researched