Explore the world of big data technology and its real-world applications in this 44-minute conference talk from Notacon 11. Dive into network data analysis, supervised and unsupervised learning techniques, and domain name reputation systems. Learn about feature extraction, clustering methods, and statistical modeling as applied to cybersecurity. Discover the concepts behind digital immune systems and unsupervised learning algorithms. Gain insights into how academic research is transformed into practical solutions. Engage with a comprehensive overview of cutting-edge big data technologies and their potential to revolutionize threat detection and prevention in a manner reminiscent of the film "Minority Report."
Overview
Syllabus
Introduction
Presentation Flow
Brians Background
Network Data
Supervised
Unsupervised
Domain Name Reputation
Notos
Feature Extraction
Whats Bad
Pleiades
Digital Immune System
Clustering Techniques
Statistical Model
Building clusters
ExecCent
System Overview
Unsupervised Learning
Deep Academic Papers
Make it Real
Questions