Secure Debug Access Control for ADAS Processing Units
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Advanced driver assistance systems (ADAS) and autonomous vehicle (AV) systems face challenges in protecting data generated by object classifiers, which are crucial for detecting objects and controlling vehicles, especially as these systems progress towards fully autonomous operation.
Innovation Solution
The system incorporates multiple cameras and a processor to monitor the vehicle's environment, utilizing neural networks or deep learning algorithms to estimate a future path based on images, while also implementing an access control mechanism and secure debugging methods for integrated circuits to ensure data security and integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If secure debugging mechanisms are implemented in integrated circuits, then system security and data protection are improved, but device complexity and debugging overhead increase
Solution Approach 1:
The integrated circuit is divided into multiple security domains with distinct access control policies. Debugging functionality is segmented into authorized and unauthorized portions, allowing selective access to different circuit regions based on authentication status. This enables secure debugging without requiring complete system redesign.
Solution Approach 2:
An access control unit is introduced as an intermediary component between debug ports and the processing unit. This mediator validates debug requests, manages authentication credentials, and controls access to debugging functionality, thereby securing the debugging process without adding significant complexity to the core processing unit.
2Reliability
If access control mechanisms are added to protect data in ADAS and AV systems, then data security is improved, but system complexity and processing overhead increase
Solution Approach 1:
The access control unit serves multiple functions including authentication validation, credential verification, domain access control, and debugging authorization. By consolidating these security functions into a single multi-functional component, the system achieves comprehensive data protection without proportionally increasing overall system complexity.
Solution Approach 2:
Security credentials and access control policies are pre-configured in the integrated circuit during manufacturing or initialization. This preliminary setup enables rapid authentication decisions during runtime without requiring complex real-time security policy evaluation, thereby reducing processing overhead while maintaining strong security.
3Reliability
If validation of debug requests is implemented, then protection against unauthorized access is improved, but debugging time and operational overhead increase
Solution Approach 1:
Debug credentials are pre-shared between authorized debugging devices and the integrated circuit before debugging sessions begin. This preliminary credential distribution enables rapid authentication during debugging without requiring time-consuming verification processes, thus protecting against unauthorized access while minimizing debugging time delays.
Solution Approach 2:
The access control unit autonomously validates debug requests using pre-configured credentials and access control policies without requiring external security infrastructure or manual authorization. This self-service authentication mechanism provides strong unauthorized access protection while enabling rapid debugging authorization decisions.
Data Source
AI summary
Disclosed embodiments provide systems and methods that can be used as part of or in combination with autonomous navigation, autonomous driving, or driver assist technology features. As opposed to fully autonomous driving, driver assist technology may refer to any suitable technology to assist drivers in the navigation or control of their vehicles. In various embodiments, the system may include one or more cameras mountable in a vehicle and an associated processor that monitors the environment of the vehicle. In further embodiments, additional types of sensors can be mounted in the vehicle and can be used in the autonomous navigation or driver assist systems. These systems and methods may include the use of a shared cache that is shared by a group of processing units to improve analysis of images captured by the one or more cameras.