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1
Introduction
2
Welcome
3
Varun Kohli Introduction
4
Problem Statement
5
Deep Dive
6
Demo
7
Features
8
Correlation Matrix
9
Architecture
10
Precision
11
Test Precision
12
Data Set
13
Number of Layers
14
Socket Programming
15
Biases
16
Train the data set
17
Accuracy
18
Environment
19
AI in Cyber Security
20
Feature Difficulties
21
Recommended Books
Description:
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.

Machine Learning for Intrusion Attempt Detections

nullcon
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