Machine Learning for Intrusion Attempt Detections

Explore machine learning applications in cybersecurity through this 45-minute webinar from the Nullcon 2021 series. Discover how to build a real-time intrusion attempt detection system using cutting-edge AI techniques. Led by Varun Kohli, a Lead Security Engineer at Google, delve into topics such as feature selection, correlation matrices, neural network architecture, and data set training. Gain insights on AI's role in cyber security, overcome feature difficulties, and receive book recommendations to further your knowledge. Learn from Kohli's expertise in developing machine learning models for abuse detection on Google Cloud and his experience as a researcher and public speaker.

Introduction
Welcome
Varun Kohli Introduction
Problem Statement
Deep Dive
Demo
Features
Correlation Matrix
Architecture
Precision
Test Precision
Data Set
Number of Layers
Socket Programming
Biases
Train the data set
Accuracy
Environment
AI in Cyber Security
Feature Difficulties
Recommended Books