DeepAI AI Chat
Log In Sign Up

ACTT: Automotive CAN Tokenization and Translation

11/19/2018
by   Miki E. Verma, et al.
Oak Ridge National Laboratory
0

Modern vehicles contain scores of Electrical Control Units (ECUs) that broadcast messages over a Controller Area Network (CAN). Vehicle manufacturers rely on security through obscurity by concealing their unique mapping of CAN messages to vehicle functions which differs for each make, model, year, and even trim. This poses a major obstacle for after-market modifications notably performance tuning and in-vehicle network security measures. We present ACTT: Automotive CAN Tokenization and Translation, a novel, vehicle-agnostic, algorithm that leverages available diagnostic information to parse CAN data into meaningful messages, simultaneously cutting binary messages into tokens, and learning the translation to map these contiguous bits to the value of the vehicle function communicated.

READ FULL TEXT

page 1

page 5

08/28/2018

Exploiting the Shape of CAN Data for In-Vehicle Intrusion Detection

Modern vehicles rely on scores of electronic control units (ECUs) broadc...
12/30/2018

Towards a CAN IDS based on a neural-network data field predictor

Modern vehicles contain a few controller area networks (CANs), which all...
07/12/2022

Security Methods in Internet of vehicles

The emerging wireless communication technology known as vehicle ad hoc n...
11/15/2017

Security Issues in Controller Area Networks in Automobiles

Modern vehicles may contain a considerable number of ECUs (Electronic Co...
07/09/2018

Hybrid-Vehcloud: An Obstacle Shadowing Approach for VANETs in Urban Environment

Routing of messages in Vehicular Ad-hoc Networks (VANETs) is challenging...
10/07/2019

CAN Radar: Sensing Physical Devices in CAN Networks based on Time Domain Reflectometry

The presence of security vulnerabilities in automotive networks has alre...
06/09/2020

CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data

CANs are a broadcast protocol for real-time communication of critical ve...