Using Machine Learning to Support Information Security

Explore the intersection of machine learning and information security in this BSidesLV conference talk by Alex Pinto. Delve into the challenges of big data, learn about various machine learning applications in security, including fraud detection and spam filtering, and understand the importance of statistical relevance. Discover what makes a good data scientist, examine the evolving landscape of cyber threats, and gain insights on improving data quality. Get practical advice on how to start implementing machine learning in information security and understand the key differences between traditional and data-driven approaches.

Introduction
Important Warning
Agenda
Big Data
Big Data Challenges
Learning
Applications
Fraud Detection
Machine Learning
Spam Filtering
Regression
Support Vector Machines
Why Should We Care
What a Data Scientist Should Be
Statistical Relevance
Angels Evolved
The Bad Guys
How to Get Started
Big Differences
Takeaway
Improving Data Quality