Research and Development of a System Adaptation Strategy for the AUTOSAR Crypto Stack Beijing University of Posts and Telecommunications

Format:

Book

Conference/Event

Author/Creator:

Wu, Shudi, author.

Contributor:

Fan, Sunjia

Xiu, Jiapeng

Yu, Yaqi

Conference Name:

SAE 2025 Intelligent and Connected Vehicles Symposium (2025-09-19 : Shanghai, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

As automotive electronic systems become increasingly complex, the demand for robust data security and privacy protection mechanisms has grown significantly. The AUTOSAR (Automotive Open System Architecture) standard has emerged as a widely adopted framework in the automotive industry due to its strong support for interoperability, functional safety, and cybersecurity. Within the AUTOSAR Classic Platform (CP), the Crypto Stack Service as a core component that enables critical security functionalities such as encryption, decryption, digital signature verification, and key management.However, the deployment of the Crypto Stack across heterogeneous Electronic Control Units (ECUs) introduces a series of technical challenges. These challenges stem primarily from variations in hardware resources, differences in operating system implementations, and inconsistencies in software execution environments. As a result, issues such as architectural compatibility, task scheduling efficiency, and secure communication between modules must be addressed for successful integration.This paper presents a systematic adaptation framework for the AUTOSAR Crypto Stack, focusing on three key layers of the software architecture: the Operating System (OS), the Runtime Environment (RTE), and the crypto driver abstraction. The proposed solution includes optimized task scheduling strategies, standardized RTE service encapsulation, and a dynamic dispatch mechanism for coordinating software- and hardware-based crypto processing.To validate the proposed adaptation strategy, a real-world prototype was developed using the NXP S32K148 platform. The system was tested through the generation and verification of MAC, simulating realistic automotive use cases. Experimental results demonstrate that the solution meets the stringent real-time and security requirements of automotive systems, providing valuable insights for the secure deployment of Crypto Stack in modern vehicles

Notes:

Vendor supplied data

Publisher Number:

2025-01-7334

Access Restriction:

Restricted for use by site license