YoVDO

Hunting for LoLs - A ML Living of the Land Classifier

Offered By: DefCamp via YouTube

Tags

DefCamp Courses Data Analysis Courses Machine Learning Courses

Course Description

Overview

Explore a cutting-edge machine learning approach to detecting Living off the Land (LoL) techniques in this DefCamp 2021 conference talk. Dive into the development of a ML-based classifier designed to identify and hunt for LoL attacks, which leverage legitimate system tools and processes for malicious purposes. Learn about the challenges faced in detecting these stealthy techniques and how machine learning can be applied to enhance threat detection capabilities. Gain insights into the methodology, implementation, and effectiveness of this innovative LoL classifier, and understand its potential impact on improving cybersecurity defenses against sophisticated adversaries.

Syllabus

Hunting for LoLs (a ML Living of the Land Classifier) at DefCamp 2021


Taught by

DefCamp

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent