CANsee - An Automobile Intrusion Detection System

Explore an innovative approach to automotive security in this conference talk from the Hack In The Box Security Conference. Delve into the development of CANsee, a machine learning-based Intrusion Detection System (IDS) for automobiles designed to detect abnormal traffic on the CANBUS. Learn about a low-cost device capable of capturing raw CAN traffic and wirelessly transmitting data for analysis. Gain insights into the inner workings of modern automobiles, potential attack vectors, and how CANsee can be used to detect anomalous behavior. Discover the open-source nature of the project, including schematics, bill of materials, and source code. Benefit from the expertise of Jun Li, a security researcher at Qihoo360's Unicorn Team, as he shares his findings from two years of research in automotive security and IoT.

#HITB2016AMS D2T1 - CANsee: An Automobile Intrusion Detection System - Jun Li