AUTOSAR in automotive embedded systems: classic versus adaptive platforms and their role in IoV development with integrated blockchain security

Published: 2026
Elsevier Inc.
ISBN/ISSN: 978-0-443-33861-8

Abstract

The automotive industry is evolving rapidly, driven by the increasing demand for automation, connectivity, and safety in modern vehicles. To address the complexity of software development for electronic control units (ECUs), the automotive open system architecture (AUTOSAR) was introduced as a standardized framework to decouple software from hardware. This chapter provides a comprehensive comparison between the classic and adaptive AUTOSAR platforms, highlighting their respective roles in traditional and next-generation automotive applications. The classic platform, with its real-time processing capabilities, supports stability and predictability, whereas the adaptive platform is designed to meet the high-performance demands of autonomous driving, connected cars, and the Internet of Things (IoT). In addition, we explore the critical role of security in the Internet of Vehicles (IoV) with an emphasis on the integration of blockchain technology as a decentralized and tamper-proof solution for securing communications and ensuring data integrity across connected systems. By analyzing the architectures, use cases, and security in alignment with this standardized platform, this chapter provides a roadmap for future automotive software development and the secure deployment of IoV systems
 

This chapter appears in the book Embedded Systems in Automative Applications