Advanced Driver Assistant System Threats, Requirements, Security Solutions

This paper discusses security vulnerabilities and potential solutions for Advanced Driver Assistance Systems (ADAS). We introduce ADAS system architecture and present use cases. We further provide detailed threat analysis of two leading ADAS use cases: (1) lane departure warning and (2) adaptive cruise control. Based on threat analysis results we identify security problem areas and state security requirements for each. We devote the last part of this paper to ADAS security solutions that can meet identified objectives. This study makes several key contributions to addressing ADAS security problems • Establish critical needs to addressing security problems via detailed threat analysis • Define main security problem areas for ADAS • Identify challenges and requirements for securing ADAS control functions • Establish the mission of securing E2E ADAS data path • Define trust foundation for secure ADAS platforms • Make recommendations for “ADAS security solution menu”

1. Introduction

Demand for Advanced Driver Assistance Systems (ADAS) is caused by desire to build safer vehicles and roads in order to reduce the number of road fatalities and by legislation in the leading countries. ADAS is made of the following physical sensors: radar, LIDAR, ultrasonic, photonic mixer device (PMD), cameras, and nightvision devices—that allow a vehicle to monitor near and far fields in every direction and of evolving and improving sensor fusion algorithms that ensure vehicle, driver, passenger’s, and pedestrian’s safety based on factors such as traffic, weather, dangerous conditions, etc. Modern ADAS systems act in real time via warnings to the driver or by actuation of the control systems directly and are precursors to the autonomous vehicles of the future.

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Read more : https://www.intel.com/content/dam/www/public/us/en/documents/white-papers/advanced-driver-assistant-system-paper.pdf