YoVDO

Hybrid Image-Based Approaches for Modern Malware Classification

Offered By: YouTube

Tags

Conference Talks Courses Cybersecurity Courses Malware Analysis Courses Image Processing Courses Malware Classification Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore hybrid image-based approaches for modern malware classification in this comprehensive conference talk by Dr. Phu Phung at OISF 2022. Delve into cutting-edge techniques that combine visual representation and traditional methods to enhance malware detection and analysis. Learn how image processing algorithms and machine learning models can be applied to malware samples, improving classification accuracy and efficiency. Gain insights into the challenges and opportunities presented by this innovative approach to cybersecurity, and understand its potential impact on the future of malware defense strategies.

Syllabus

OISF 02 Hybrid image based approaches for modern malware classification Dr Phu Phung


Related Courses

Malicious Software and its Underground Economy: Two Sides to Every Story
University of London International Programmes via Coursera
Palo Alto Networks Cybersecurity Essentials II
Palo Alto Networks via Coursera
Introducción al Análisis del Malware en Windows
National Technological University – Buenos Aires Regional Faculty via Miríadax
Android Malware Analysis - From Zero to Hero
Udemy
How to Create and Embed Malware (2-in-1 Course)
Udemy