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Classroom Contents
An Open Source Malware Classifier and Dataset
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- 1 Introduction
- 2 Why Open Datasets
- 3 Amnesty
- 4 Security Locks Datasets
- 5 Malware Classification
- 6 Ember
- 7 The Name
- 8 The Dataset
- 9 The Training Set
- 10 The Data
- 11 Two Types of Features
- 12 Calculating Features
- 13 Categories of Features
- 14 Section Information
- 15 Strings
- 16 File Size
- 17 Feature Vectorization
- 18 Training a Model
- 19 Scoring the Model
- 20 Disclaimer
- 21 Code Base
- 22 Python Notebook
- 23 Feature Engineering
- 24 Semisupervised Learning
- 25 Offensive Research
- 26 Demo Time
- 27 Hat
- 28 Download Data
- 29 Packed Samples
- 30 Metadata
