Super Bad Exploit Kits Machine Learning

Explore the evolution and adaptation of exploit kits through machine learning in this 26-minute conference talk from BSides Augusta 2016. Delve into Patrick Perry's background and insights on exploit kit evolution, drawing parallels with nature's adaptations like the owl moth. Learn about decision trees, training data, and the application of machine learning techniques to analyze exploit kit behaviors. Discover how strings and tools like Anaconda are utilized in this process. Examine the results, including exponential decay patterns, and engage with the subsequent question and answer session to deepen your understanding of this cutting-edge approach to cybersecurity.

Introduction
Patricks background
Chris Sanders
Evolution
Adaptation
Owl Moth
Exploit Kit Evolution
Machine Learning
Training Data
Decision Trees
Strings
Anaconda
Results
Exponential Decay
Question