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Intro
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Classroom Contents
Deep Learning for Realtime Malware Detection
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- 1 Intro
- 2 Disclaimer
- 3 Malware Happens
- 4 Stopping Malware
- 5 Domain Generation Algorithms (DGA)
- 6 Combatting DGAS
- 7 Algorithmically Generated Text Stands Out
- 8 The Problem Statement
- 9 Project Alphabet Soup
- 10 The Models
- 11 Bigram Collocation
- 12 Collocation Results
- 13 Deep Learning Data
- 14 Model Architecture
- 15 Translating a Domain for ML
- 16 Embedding Layer
- 17 Character Embedding
- 18 LSTM Layer
- 19 Neural Networks for Sequential Input
- 20 Long Short-Term Memory Networks
- 21 LSTM Neurons Take Sequential Inputs
- 22 LSTMs Capture Temporal Dependencies
- 23 LSTMs Maintain State
- 24 Basics of CNN
- 25 Convolutional Neural Network
- 26 CNN for Text Analysis
- 27 Hidden Layer
- 28 The Output
- 29 Understanding Scoring
- 30 Investigation
- 31 Findings
- 32 Anatomy of a C&C network
- 33 Other Suspicious Activity
- 34 Trojan?
- 35 Deployment
- 36 Model as a Service
- 37 Wrapping Up
- 38 Questions?
- 39 LSTM Architecture
- 40 Detailed Ensemble Arch
