Hybrid Image-Based Approaches for Modern Malware Classification
Offered By: YouTube
Course Description
Overview
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
Building Geospatial Apps on Postgres, PostGIS, & Citus at Large ScaleMicrosoft via YouTube Unlocking the Power of ML for Your JavaScript Applications with TensorFlow.js
TensorFlow via YouTube Managing the Reactive World with RxJava - Jake Wharton
ChariotSolutions via YouTube What's New in Grails 2.0
ChariotSolutions via YouTube Performance Analysis of Apache Spark and Presto in Cloud Environments
Databricks via YouTube