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

An Introduction to Computer Networks
Stanford University via Independent
Computer Networks
University of Washington via Coursera
Computer Networking
Georgia Institute of Technology via Udacity
Cybersecurity and Its Ten Domains
University System of Georgia via Coursera
Model Building and Validation
AT&T via Udacity