YoVDO

Effective Vulnerability Discovery with Machine Learning

Offered By: Black Hat via YouTube

Tags

Black Hat Courses Software Development Courses Cybersecurity Courses Machine Learning Courses Software Composition Analysis Courses

Course Description

Overview

Explore effective vulnerability discovery techniques using machine learning in this 27-minute Black Hat conference talk. Delve into Software Composition Analysis (SCA) and its role in identifying vulnerabilities in third-party dependencies. Learn about the challenges faced by central authorities in maintaining vulnerability databases and how machine learning can enhance the process. Examine data examples and key observations presented by Ming Yi Ang and Asankhaya Sharma. Gain insights into modern software composition, external dependencies, and the evolving landscape of vulnerability discovery.

Syllabus

Introduction
Overview
Machine Learning Approach
External Dependencies
Modern Software Composition
Central Authorities
Challenges
Data Examples
Key Observations
Conclusion


Taught by

Black Hat

Related Courses

Computer Security
Stanford University via Coursera
Cryptography II
Stanford University via Coursera
Malicious Software and its Underground Economy: Two Sides to Every Story
University of London International Programmes via Coursera
Building an Information Risk Management Toolkit
University of Washington via Coursera
Introduction to Cybersecurity
National Cybersecurity Institute at Excelsior College via Canvas Network