Towards Robust Autonomous Vehicle Software: Extending SAM for a Holistic Security Analysis

  • The Security Abstraction Model (SAM) is a meta-model that enables comprehensive security modeling and does not only consider technological aspects, but also takes into consideration the influence of social engineering. This plays an important role by exploiting vulnerabilities in human behavior and thus represents a dimension that must not be neglected in possible attacks on vehicle systems. This work is dedicated to the advancement of the Security Abstraction Model (SAM) with the aim of enabling improved modelling and analysis of vulnerabilities in the context of software and system security; the relevant standards and best practices of the international security literature for embedded systems are harmonized in one metamodel. By extending SAM, this research enables a more nuanced understanding and representation of vulnerabilities, attacks and scenarios, improving the effectiveness of security analysis and remediation strategies. The integration of different perspectives, including technological, social and behavioral factors,The Security Abstraction Model (SAM) is a meta-model that enables comprehensive security modeling and does not only consider technological aspects, but also takes into consideration the influence of social engineering. This plays an important role by exploiting vulnerabilities in human behavior and thus represents a dimension that must not be neglected in possible attacks on vehicle systems. This work is dedicated to the advancement of the Security Abstraction Model (SAM) with the aim of enabling improved modelling and analysis of vulnerabilities in the context of software and system security; the relevant standards and best practices of the international security literature for embedded systems are harmonized in one metamodel. By extending SAM, this research enables a more nuanced understanding and representation of vulnerabilities, attacks and scenarios, improving the effectiveness of security analysis and remediation strategies. The integration of different perspectives, including technological, social and behavioral factors, underlines the comprehensive nature of the proposed model. This interdisciplinary approach recognizes the complexity of security threats in autonomous vehicle systems and enables stakeholders to develop more effective countermeasures. This work presents an overview of the extension of the Security Abstration Model (SAM) and evaluates this security technology through expert interviews. The results demonstrate that our approach is compliant not only in the automotive domain, but also with standards for embedded systems from other domains. It thus provides a comprehensive and universal approach for the development of secure systems.show moreshow less

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Metadaten
Author:Alexander FischerORCiD, Ramin Tavakoli KolagariORCiD
DOI:https://doi.org/10.1109/ICSRS63046.2024.10927601
ISBN:979-8-3503-5450-8
Parent Title (English):2024 8th International Conference on System Reliability and Safety (ICSRS)
Publisher:IEEE
Document Type:conference proceeding (article)
Language:English
Reviewed:Begutachtet/Reviewed
Release Date:2025/11/12
Pagenumber:9
First Page:578
Last Page:586
institutes:Fakultät Informatik
Research Themes:Digitalisierung & Künstliche Intelligenz
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