New Autosar Simulator Enhances Security Testing

Code Intelligence, a leading technology company in Germany, has recently introduced an innovative Autosar simulator aimed at bolstering the security of automotive software through advanced fuzz testing techniques.

The newly developed Classic Autosar Simulator by Code Intelligence offers developers a powerful tool to conduct comprehensive testing of applications in a software-in-the-loop environment. This approach allows for the early detection of critical vulnerabilities during the testing phase, eliminating the need for expensive hardware setups.

Automotive companies can leverage the Autosar simulator to conduct rigorous security assessments on entire systems, including crucial components such as electronic stability control (ESC), steering mechanisms, electric parking brakes, park distance control, exterior lighting systems, infotainment units, anti-theft systems, remote keyless entry, and more.

One of the key advantages of using the Autosar simulator is its ability to identify security weaknesses that may be accessible through external interfaces like Bluetooth, which could potentially be exploited by malicious actors seeking to compromise the system.

Moreover, the simulator supports a range of testing methodologies, including whitebox fuzz testing, as well as standard techniques such as unit testing, integration testing, and end-to-end testing, all of which can be seamlessly integrated into software-based testing workflows. This approach offers a cost-effective, efficient, and scalable alternative to traditional hardware-in-the-loop testing.

Michael von Wenckstern, a Product Cybersecurity Governance, Risk, and Compliance Specialist at Tier One supplier Continental, highlighted the significance of Code Intelligence's Autosar Simulator in automating bug detection and ensuring the absence of critical vulnerabilities in components sourced from Tier-2 suppliers.

According to Khaled Yakdan, Co-Founder and Chief Product Officer at Code Intelligence, the increasing prevalence of connected vehicles underscores the importance of robust security testing practices. The Classic Autosar Simulator not only addresses the limitations of traditional testing methods but also introduces automated approaches like whitebox fuzz testing for enhanced security assurance.

The value proposition of the Autosar simulator extends to automotive customers by enabling faster development cycles, heightened security assurance, and the ability to validate the reliability of complete automotive systems well in advance of deployment.

For more information on the Classic Autosar simulator and its underlying architecture, interested parties can refer to the detailed documentation provided by Code Intelligence.