#Enigma2022: Contextual Security Should Supplement Machine Learning for Malware Detection

Malware continues to be one of the most effective attack vectors in use today, and it is often combatted with machine learning-powered security tools for intrusion detection and prevention systems. According to Nidhi Rastogi, Assistant Professor at the Rochester Institute of Technology, machine learning security tools are not nearly as effective as they could be, as several different limitations often hinder them.

Read full article on Infosecurity

 


Date:

Categorie(s):