Big Data in Cybersecurity

Explore the intersection of big data and cybersecurity in this 46-minute lecture by Professor Latifur Khan from the University of Texas at Dallas. Delve into key topics including classification techniques, feature extraction methodologies, and cheat detection strategies. Gain insights into the motivations behind leveraging big data in cybersecurity, examine practical examples of feature extraction, and understand the framework for implementing these concepts. Conclude with a discussion on future developments in this rapidly evolving field and participate in a Q&A session to deepen your understanding of big data applications in cybersecurity.

Introduction
Motivation
Classification
Feature Extraction
Feature Extraction Example
Framework
Cheat Detection
Future Work
Questions