YoVDO

ML-Based Detection Engine for Device and Network Attacks on IIOT Gateways - 2018

Offered By: LASCON via YouTube

Tags

Cybersecurity Courses Machine Learning Courses Network Security Courses Device Security Courses ARM Architecture Courses Embedded Linux Courses

Course Description

Overview

Explore a comprehensive security architecture for Industrial Internet of Things (IIoT) gateways using embedded Linux on ARM in this 49-minute LASCON conference talk. Discover how a Machine Learning-based detection engine can be integrated to instantly identify attacks from both device (kernel/physical) and network (WiFi) vectors. Witness a live demonstration on a NanoPi/RaspberryPi3 showcasing the practical implementation of this cutting-edge security solution for IIoT systems.

Syllabus

2018 - ML-Based Detection Engine of Device/Network Attacks for IIOT Gateway


Taught by

LASCON

Related Courses

Introduction to TensorFlow Lite
Udacity
Real-Time Embedded Systems Concepts and Practices
University of Colorado Boulder via Coursera
Embedded Linux Step by Step Using Beaglebone Black
Udemy
Embedded Linux Step by Step on Beaglebone
YouTube
Embedded Linux
Udemy