Android RATs Detection With a Machine Learning-Based Python IDS

Explore Android Remote Access Trojan (RAT) detection using machine learning in this 55-minute conference talk from Hack In The Box Security Conference. Delve into the creation of an Android RATs dataset for analyzing network traffic behaviors and proposing new detection models. Learn about the implementation of these detections in Slips, a free software Intrusion Detection System (IDS) that leverages machine learning. Discover how Slips offers an open solution for detecting malicious activity in network traffic, with a focus on mobile devices. Witness a live demonstration of Slips detecting Android RAT activity and gain insights into the first community-available Android RAT traffic dataset. Understand the importance of improving mobile device security and the potential of machine learning-based tools in protecting users from digital rights abuse.

#HITBCyberWeek D1T2 - Android RATs Detection With A Machine Learning-based Python IDS