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Email classification
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Classroom Contents
Is This Magikarp a Gyarados? - Machine Learning for Phishing Detection
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- 1 Introduction
- 2 Who am I
- 3 What is Phishing
- 4 Agenda
- 5 Motivation
- 6 Common phishing attacks
- 7 Manual effort
- 8 Humandriven detection
- 9 Behavioral metrics
- 10 Better approach
- 11 Data sources
- 12 Textual and visual analysis
- 13 Email classification
- 14 Website classification
- 15 Data collection
- 16 Phishing datasets
- 17 Phishing repositories tools
- 18 Phishing website datasets
- 19 What is URL extraction
- 20 Deployment
- 21 Content
- 22 Reputation
- 23 Most statistically significant coefficients
- 24 Modeling
- 25 Assumptions
- 26 Summary
- 27 Future work
- 28 Conclusions
- 29 Questions
- 30 Models
- 31 Discussion
