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    <title language="eng">Inclusive Security by Design</title>
    <parentTitle language="deu">Mensch und Computer 2022 - Workshopband</parentTitle>
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      <first_name>Karola</first_name>
      <last_name>Marky</last_name>
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      <value>usable security</value>
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    <title language="eng">Efficient Cross-Architecture Binary Function Embeddings through Knowledge Distillation</title>
    <abstract language="eng">Deep learning has recently been shown to be effective in various tasks related to static binary analysis. One important analysis task is the binary function similarity problem: Given the binary code of two functions compiled with different compilers, different settings, and different processor architectures, the goal is to decide whether the functions are semantically equivalent (i.e. "similar") or not. This problem has numerous applications for embedded systems, for example plagiarism detection, validation of compliance restrictions with usable software licenses, more efficient reverse engineering of existing binary codebases, or vulnerability scanning by detecting known vulnerable functions. In this paper, we propose a novel training scheme for the popular transformer neural network architecture to learn function embeddings directly from instruction listings. Unlike existing approaches, our solution explicitly considers the cross-architecture scenario: we propose a training method to adapt the model to different instruction set architectures (ISA) without having to train a new model from scratch, which allows the model to also be used efficiently for embedded systems, where there are a variety of different processor architectures. We show that our solution achieves a similarity classification accuracy of 89.6% on a dataset consisting of several real-world open source software projects. Finally, we conduct extensive experiments to demonstrate the effectiveness of knowledge distillation in increasing the computational efficiency of the embedding model. We demonstrate a reduction in the number of parameters from 87M to 23M, while still maintaining a classification accuracy of 87.8%. Our code and artifacts are available as open source.</abstract>
    <parentTitle language="eng">Proceedings of the 11th ACM Cyber-Physical System Security Workshop</parentTitle>
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      <first_name>Thomas</first_name>
      <last_name>Hutzelmann</last_name>
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    <title language="eng">Charging Communication Sniffing and Man-in-the-Middle Attacks</title>
    <abstract language="eng">In recent years an increasing amount of electric vehicle fast charging stations have been built to meet the growing demand from rising electric vehicle numbers. The standard for fast charging communication in europe is ISO 15118. In theory the standard includes security controls for authentication and transport encryption. In reality difficulties with implementing those security controls as well as insecure design within the standard lead to multiple possible attack vectors compromising the confidentiality and authenticity of charging communication sessions. The goal of this research is to present different approaches towards performing sniffing and man-in-the-middle attacks against charging communication. We also provide a novel approach, which does not rely on race conditions and thus is more reliable than previous approaches.</abstract>
    <parentTitle language="eng">Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems</parentTitle>
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      <first_name>Lukas</first_name>
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    <title language="eng">Vehicle Security Operations Center for Cooperative, Connected and Automated&#13;
Mobility</title>
    <parentTitle language="eng">SECURWARE 2024: The Eighteenth International Conference on Emerging Security Information, Systems and Technologies</parentTitle>
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      <first_name>Fatima</first_name>
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      <first_name>Tina</first_name>
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      <first_name>Steffen</first_name>
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      <first_name>Jenny</first_name>
      <last_name>Hofbauer</last_name>
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    <author>
      <first_name>Patrizia</first_name>
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    <completedDate>2025-06-20</completedDate>
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    <title language="eng">Towards a Stakeholder-Centric Trust Management Approach for the Automotive Ecosystem</title>
    <parentTitle language="eng">SECURWARE 2024: The Eighteenth International Conference on Emerging Security Information, Systems and Technologies</parentTitle>
    <identifier type="isbn">978-1-68558-206-7</identifier>
    <identifier type="url">https://www.thinkmind.org/library/SECURWARE/SECURWARE_2024/securware_2024_2_70_30036.html</identifier>
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    <author>
      <first_name>Marco</first_name>
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      <first_name>Fatima</first_name>
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    <completedDate>2025-06-20</completedDate>
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    <title language="eng">Fast Charging Communication and Cybersecurity: A Technology Review</title>
    <parentTitle language="eng">SECURWARE 2024: The Eighteenth International Conference on Emerging Security Information, Systems and Technologies</parentTitle>
    <identifier type="isbn">978-1-68558-206-7</identifier>
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    <editor>
      <first_name>Fatima</first_name>
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      <first_name>Jakob</first_name>
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      <first_name>Steffen</first_name>
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      <first_name>Kevin</first_name>
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    <title language="eng">Implementation of a Software Based Glitching Detection Mechanism</title>
    <parentTitle language="eng">International Journal on Advances in Security</parentTitle>
    <identifier type="url">https://www.iariajournals.org/security/tocv15n12.html</identifier>
    <identifier type="issn">1942-2636</identifier>
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      <first_name>Jakob</first_name>
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    <author>
      <first_name>Dominik</first_name>
      <last_name>Bayerl</last_name>
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      <first_name>Hans-Joachim</first_name>
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    <subject>
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    <completedDate>2022-03-14</completedDate>
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    <title language="deu">Überwachung in modernen Fahrzeugen</title>
    <parentTitle language="deu">Datenschutz und Datensicherheit - DuD</parentTitle>
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      <first_name>Kevin</first_name>
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      <first_name>Dominik</first_name>
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    <completedDate>2022-02-22</completedDate>
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    <title language="eng">Model-based security and safety assurance for automotive safety systems</title>
    <parentTitle language="eng">Proceedings of 3. ACM Computer Science in Cars Symposium (CSCS 2019)</parentTitle>
    <subTitle language="eng">Extended Abstract</subTitle>
    <identifier type="url">https://acm-cscs.org/_/2019/</identifier>
    <identifier type="url">https://cscs19.cispa.saarland/</identifier>
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    <author>
      <first_name>Sanjana</first_name>
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      <first_name>Werner</first_name>
      <last_name>Huber</last_name>
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      <first_name>Matthias</first_name>
      <last_name>Meyer</last_name>
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      <first_name>Hans-Joachim</first_name>
      <last_name>Hof</last_name>
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      <first_name>Thomas</first_name>
      <last_name>Hempen</last_name>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Model-based Testing</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Security</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Safety</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Verification</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Validation</value>
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    <collection role="institutes" number="19309">Fakultät Informatik</collection>
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    <pageNumber>XXXIX, 563</pageNumber>
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    <title language="deu">Einführung in das Datenschutzrecht</title>
    <subTitle language="deu">Datenschutz und Informationsfreiheit in europäischer Sicht</subTitle>
    <identifier type="isbn">978-3-11-063031-2</identifier>
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    <author>
      <first_name>Marie-Theres</first_name>
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      <first_name>Benedikt</first_name>
      <last_name>Buchner</last_name>
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      <value>Europa</value>
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      <value>Datenschutz</value>
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      <value>Informationsfreiheit</value>
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      <language>deu</language>
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      <value>Recht</value>
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    <collection role="institutes" number="19309">Fakultät Informatik</collection>
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    <pageFirst>12</pageFirst>
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    <title language="eng">ADAM: An Adversary-Driven Attack Modelling Framework for Model-Based Security Testing</title>
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    <identifier type="issn">1942-2636</identifier>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>attack model</value>
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    <subject>
      <language>eng</language>
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      <value>adversary model</value>
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    <subject>
      <language>eng</language>
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      <value>model-based testing</value>
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    <subject>
      <language>eng</language>
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    <collection role="institutes" number="19309">Fakultät Informatik</collection>
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    <completedDate>2022-03-14</completedDate>
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    <title language="eng">A Concept of an Attack Model for a Model-Based Security Testing Framework</title>
    <parentTitle language="eng">SECURWARE 2020: The Fourteenth International Conference on Emerging Security Information, Systems and Technologies</parentTitle>
    <subTitle language="eng">Introducing a holistic perspective of cyberattacks in software engineering</subTitle>
    <identifier type="isbn">978-1-61208-821-1</identifier>
    <identifier type="url">http://www.thinkmind.org/index.php?view=article&amp;articleid=securware_2020_2_130_30046</identifier>
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    <author>
      <first_name>Tina</first_name>
      <last_name>Volkersdorfer</last_name>
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    <editor>
      <first_name>Hans-Joachim</first_name>
      <last_name>Hof</last_name>
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    <author>
      <first_name>Hans-Joachim</first_name>
      <last_name>Hof</last_name>
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      <first_name>Manuela</first_name>
      <last_name>Popescu</last_name>
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    <editor>
      <first_name>George</first_name>
      <last_name>Yee</last_name>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>attack model</value>
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      <language>eng</language>
      <type>uncontrolled</type>
      <value>adversary model</value>
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      <language>eng</language>
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      <value>model-based testing</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>security testing</value>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>penetration test</value>
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    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19319">CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)</collection>
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    <language>deu</language>
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    <title language="deu">Cybersecurity für den zukunftsfähigen Handel</title>
    <parentTitle language="deu">Der zukunftsfähige Handel: Neue online und offline Konzepte sowie digitale und KI-basierte Lösungen</parentTitle>
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    <identifier type="isbn">978-3-658-36218-8</identifier>
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      <first_name>Hans-Joachim</first_name>
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      <first_name>Marc</first_name>
      <last_name>Knoppe</last_name>
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      <first_name>Stefan</first_name>
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      <first_name>Martin</first_name>
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    <language>deu</language>
    <pageFirst>85</pageFirst>
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    <completedDate>2022-08-09</completedDate>
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    <title language="deu">Cybersicherheit für mobile und intelligente Komponenten</title>
    <parentTitle language="deu">Cybersicherheit für vernetzte Anwendungen in der Industrie 4.0</parentTitle>
    <subTitle language="deu">Einführung und Grundlagen</subTitle>
    <identifier type="isbn">978-3-8343-3424-4</identifier>
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      <last_name>Schulz</last_name>
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    <publishedYear>2023</publishedYear>
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    <language>eng</language>
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    <pageNumber/>
    <edition/>
    <issue>129</issue>
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    <publisherPlace>Amsterdam</publisherPlace>
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    <title language="eng">Security architecture for automotive communication networks with CAN FD</title>
    <parentTitle language="eng">Computers &amp; Security</parentTitle>
    <identifier type="issn">1872-6208</identifier>
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    <author>
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      <first_name>Max Mauro</first_name>
      <last_name>Dias Santos</last_name>
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      <first_name>João Francisco</first_name>
      <last_name>Justo</last_name>
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      <first_name>Leopoldo Rideki</first_name>
      <last_name>Yoshioka</last_name>
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      <first_name>Hans-Joachim</first_name>
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      <first_name>João Henrique</first_name>
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    <language>eng</language>
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    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>36, Supplement</issue>
    <volume>2021</volume>
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    <completedDate>2022-03-03</completedDate>
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    <title language="eng">A generalized approach to automotive forensics</title>
    <abstract language="eng">In the past years, software became an essential topic in modern vehicles, e.g., with the rise of more and more complex driver assistance systems. The advent of automated driving will drive this trend even further. Today, accident investigation, as well as warranty claim analysis, need to take into consideration an analysis of the rapidly increasing proportion of software and security based implementations as part of modern vehicles, the so-called digital forensics. This paper evaluates the general feasibility of digital forensics on a state-of-the-art vehicle. To do so, we analyzed current digital forensics techniques on a state-of-the-art vehicle to constitute gaps in the automotive forensics process used on in-vehicle systems. We present a general process for automotive forensics to close existing gaps and implemented it on a state-of-the-art vehicle in an in-vehicle device manipulation scenario. The implementation uses the on-board diagnostics interface, the diagnostics over internet protocol, as well as the unified diagnostic services for communication. Our implementation requires automotive Ethernet at the diagnostic interface.&#13;
&#13;
Our research shows future directions for efficient automotive forensic as well as the exemplary feasibility of automotive forensic analysis on state-of-the-art vehicles without the need for additional invehicle components such as intrusion detection systems or event data recorders.</abstract>
    <parentTitle language="eng">Forensic Science International: Digital Investigation</parentTitle>
    <identifier type="issn">2666-2817</identifier>
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    <licence>Creative Commons BY-NC-ND 4.0</licence>
    <author>
      <first_name>Kevin</first_name>
      <last_name>Mayer</last_name>
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    <author>
      <first_name>Christopher</first_name>
      <last_name>Corbett</last_name>
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      <first_name>Hans-Joachim</first_name>
      <last_name>Hof</last_name>
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    <subject>
      <language>eng</language>
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      <value>Automotive</value>
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      <value>Embedded</value>
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      <value>Vehicle</value>
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    <completedDate>2022-03-03</completedDate>
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    <title language="eng">The 5th GI/ACM Workshop 2020 scope and draft programme on standardization of secure and safe smart manufacturing systems with respect to IEC 62443 IACS</title>
    <abstract language="eng">The 5th GI/ACM Workshop Programme on Standardization of Secure and Safe Production within Industrial Automation and Control Systems (IACS) took place virtually at September 28, 2020 at the Karlsruhe Institute of Technology (KIT) that hosted the 50th GI’s yearly assembly (GI Informatik 2020 Jahrestagung).</abstract>
    <parentTitle language="eng">Lecture Notes in Informatics (LNI): Proceedings</parentTitle>
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    <author>
      <first_name>Jan</first_name>
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      <first_name>Karl</first_name>
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      <first_name>Axel</first_name>
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    <title language="eng">Structured methodology and survey to evaluate data completeness in automotive digital forensics</title>
    <parentTitle language="eng">19th escar Europe: The World's Leading Automotive Cyber Security Conference</parentTitle>
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    <abstract language="eng">Lithium-ion batteries are becoming essential vehicle components with the ongoing shift to electric vehicles. Battery management systems manage these batteries. Typically, battery management systems used to be placed deep within the vehicle architecture, away from external interfaces. However, with increasing connectivity to backend systems, e.g., to improve monitoring battery properties and optimize charging, battery management systems have moved closer to the attack surface, increasing security risks. Also, batteries will soon be reused in so-called second life applications, e.g., as an energy storage system in a private home. While conventional methods involve removing the battery and reusing it with a new battery management system, modern methods retain the original system. Though security controls exist for first and second life applications, there is a lack of research on the transition phase. This paper analyzes the phase of transferring the battery management system from the first to the second life of particular relevance for security, privacy, and intellectual property. We try to close this research gap by analyzing the security aspects of a battery management system life cycle and its altering system environment. We are defining the transition phase, identifying necessary activities, and providing cybersecurity needs for the transitioning of battery management systems from first to second life.</abstract>
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    <abstract language="eng">With the advent of connected vehicles, which provide many new comfort functions, the attack surface increased as well. Widespread "hard security" mechanisms are used to secure the vehicle and its infrastructure, but they cannot mitigate all threats, especially if inside attackers are considered. "Soft security" mechanisms, like trust and reputation systems, can help to close the attack surface further. However, such systems add complexity and can also lead to further vulnerabilities. To use such mechanisms securely, this work analyzes attacks targeting trust management systems in the automotive domain. For this purpose, a literature review was conducted, and the extracted attacks were characterized and divided into several clusters, introducing a new nomenclature of attacks against trust management for vehicles. We argue that four main categories of attacks exist. They are distinguished by their target component: communication channel, trust management layer, or application. As a fourth category, we see attacks that are enabled by the use of trust management systems. The outcome of this analysis was used to create an adversary model based on detected attack vectors and to define abstract reference attackers. These can be used to evaluate the resilience of automotive trust management systems against the analyzed attacks. Mitigation strategies against the adversary's capabilities are further presented to avoid vulnerabilities in the design of automotive trust management systems.</abstract>
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    <title language="eng">Application of Quantum Key Distribution in Intelligent Transport Systems</title>
    <abstract language="eng">Quantum Key Distribution (QKD) enables two parties to generate a secret key, based on quantum physical properties. The secrecy of the exchanged key is guaranteed by these quantum physical properties, even against an attacker using a quantum computer. QKD therefore offers an Quantum Information Theoretically Secure (Q-ITS) alternative to Post Quantum Cryptography (PQC) schemes. This paper discusses advantages and challenges of deploying a QKD system in an Intelligent Transport System (ITS), by examining two exemplary use cases. Approaches to effectively implement QKD in these use cases are proposed, with a short discussion of advantages over the use of classical and PQC schemes.</abstract>
    <parentTitle language="eng">Proceedings of the 2nd Cyber Security in CarS Workshop (CSCS’25)</parentTitle>
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    <title language="eng">Authentic Batteries: A Concept for a Battery Pass Based on PUF-enabled Certificates</title>
    <parentTitle language="eng">SECURWARE 2022: The Sixteenth International Conference on Emerging Security Information, Systems and Technologies</parentTitle>
    <identifier type="isbn">978-1-68558-007-0</identifier>
    <identifier type="url">https://www.thinkmind.org/index.php?view=article&amp;articleid=securware_2022_1_120_30051</identifier>
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      <last_name>Yee</last_name>
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      <last_name>Hof</last_name>
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      <value>Certificate Transparency</value>
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    <subject>
      <language>eng</language>
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    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>battery identity</value>
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    <subject>
      <language>eng</language>
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      <value>battery pass</value>
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    <completedDate>2022-03-14</completedDate>
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    <title language="eng">Identification of Automotive Digital Forensics Stakeholders</title>
    <parentTitle language="eng">SECURWARE 2021: The Fifteenth International Conference on Emerging Security Information, Systems and Technologies</parentTitle>
    <identifier type="issn">2162-2116</identifier>
    <identifier type="isbn">978-1-61208-919-5</identifier>
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      <first_name>Kevin</first_name>
      <last_name>Mayer</last_name>
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    <editor>
      <first_name>Hans-Joachim</first_name>
      <last_name>Hof</last_name>
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    <author>
      <first_name>Hans-Joachim</first_name>
      <last_name>Hof</last_name>
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      <first_name>Manuela</first_name>
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      <first_name>Anders</first_name>
      <last_name>Fongen</last_name>
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    <subject>
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      <value>embedded</value>
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      <value>vehicle</value>
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    <subject>
      <language>eng</language>
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    <completedDate>2025-12-05</completedDate>
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    <title language="eng">From Access to Trust: Policy-Based Automotive Trust Management With XACML</title>
    <abstract language="eng">Trust is a fundamental requirement in vehicular systems, particularly in the context of autonomous and cooperative driving, where decisions often depend on data received from other vehicles or infrastructure. This paper presents a novel approach to integrating trust-based reasoning—specifically, decision-making based on subjective logic—into Attribute-Based Access Control (ABAC) systems, using the XACML policy language. We draw a parallel between trust management and access control, showing that trust assessments can be modeled as access decisions and expressed through standard access control policies. This integration allows for the reuse of mature ABAC infrastructure to represent and enforce trust-based decisions. Furthermore, we demonstrate how trust discounting mechanisms, which combine node-based and data-based trust, can be implemented within XACML policies. To evaluate this approach, we introduce a Rust-based XACML engine capable of interpreting trust-enhanced policies. Its integration in both inter- and intra-vehicle scenarios is discussed, assuming a modern zone-based architecture. Our results suggest that policy-based trust management can be efficiently implemented, enabling flexible and standardized trust reasoning in automotive environments.</abstract>
    <parentTitle language="eng">Proceedings of the 2nd Cyber Security in CarS Workshop (CSCS’25)</parentTitle>
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      <first_name>Stefan</first_name>
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    <title language="eng">Driving Down Premiums: A Security and Forensic Analysis of the DriveWell Insurance System</title>
    <abstract language="eng">Modern car insurance companies can dynamically adjust premiums with mobile sensor units that constantly record, analyze, and grade driving behavior. However, attackers can tamper with these systems to cheat the insurance company and reduce their premiums. We developed an attacker model for this threat in conjunction with a risk assessment using the ISO/SAE 21434 Risk Rating Methodology, a widely accepted standard for evaluating and managing risks in automotive systems. To support and showcase our model, we examined the static IT security of the mobile sensor unit DriveWell and its companion Android application HUK Mein Auto. In particular, we utilized digital forensic tools to analyze the stored data in the sensor’s internal storage and the app’s smartphone storage, with a focus on encryption mechanisms for locally stored data and internet communication. During this analysis, we spotted a critical vulnerability that enables attackers to manipulate their insurance scores and potentially reduce premiums by up to 30%. Our model and real-world analysis provide a solid foundation for reducing the risk of such manipulation of insurance premiums.</abstract>
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      <first_name>Kevin</first_name>
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      <first_name>Christoph</first_name>
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    <title language="eng">TRA2024 Poster - A Fail-Safe Decision Architecture for CCAM Applications</title>
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      <first_name>Mario</first_name>
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      <first_name>Jose</first_name>
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      <first_name>Joshué</first_name>
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      <first_name>Burcu</first_name>
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      <first_name>Deryanur</first_name>
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      <first_name>Enes</first_name>
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      <first_name>Irem</first_name>
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      <first_name>Tina</first_name>
      <last_name>Volkersdorfer</last_name>
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    <title language="eng">A Fail-Safe Decision Architecture for CCAM Applications</title>
    <abstract language="eng">In the context of Connected, Cooperative, and Automated Mobility (CCAM), precise ego-vehicle positioning and environmental status assessment are crucial. However, these tasks can be susceptible to sensor failures, misuse, and cyberattacks. Automation disengagements and system redundancy are common strategies to achieve Minimum Risk Conditions when failures occur. This paper presents a Fail-Safe decision architecture formulated within the framework of the SELFY project (https://selfy-project.eu/). The main aim is to reduce inaccuracies in GNSS-derived positioning through the incorporation of sensor fusion, AI-guided situational assessment, trajectory planning, and mode decision components. Additionally, the architecture has been designed to enable real-time updates and communication with external entities, including the Vehicle Security Operations Centre.</abstract>
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    <title language="eng">SELFY - Self Assessment, Protection and Healing Tools for a Trustworthy and Resilient CCAM</title>
    <abstract language="eng">SELFY envisions an agnostic toolbox for the self-management of security and resilience of the CCAM (Connected, Cooperative and Automated Mobility) ecosystem, which can be easily deployed to extend the current Operational Design Domain (ODD), providing self-awareness, self-resilience and self-healing mechanisms and enhancing trust between stakeholders. SELFY is based on four pillars: Situational awareness, Resilience, Secure Data Sharing and Trust and provides three groups of tools. SACP (Situational Awareness and Collaborative Perception) tools aim at providing all CCAM actors with a comprehensive understanding of their environment, i.e., the perception of objects, such as other traffic participants and stationary objects. CRHS (Cooperative Resilience and Healing System) tools enable self-protection actions whenever a compromising situation is detected in relation to assets, vehicles, operations, or the system itself. TDMS (Trust and Data Management System) tools establish a secure and trusted environment for data in a collaborative and cooperative context, both for infrastructure and assets, as well as for citizen’s data, such as drivers or pedestrians with special attention to privacy considerations. By defining a collaborative environment between the different tools to respond to new threats, risks and attacks SELFY facilitates the comprehension of new challenges in the cybersecurity aspect of CCAMs.</abstract>
    <parentTitle language="eng">Transport Transitions: Advancing Sustainable and Inclusive Mobility, Proceedings of the 10th TRA Conference, 2024 Dublin, Ireland - Volume 6: Connected Mobility Ecosy</parentTitle>
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    <title language="eng">SELFY - Self Assessment, Protection &amp; Healing Tools for a Trustworthy and Resilient CCAM</title>
    <abstract language="eng">SELFY envisions an agnostic toolbox for the self-management of se-curity and resilience of the CCAM (Connected, Cooperative and Automated Mo-bility) ecosystem, which can be easily deployed to extend the current Operational Design Domain (ODD), providing self-awareness, self-resilience and self-heal-ing mechanisms and enhancing trust between stakeholders. SELFY is based on four pillars: Situational awareness, Resilience, Secure Data Sharing and Trust and provides three groups of tools. SACP (Situational Awareness and Collabo-rative Perception) tools aim at providing all CCAM actors with a comprehensive understanding of their environment, i.e., the perception of objects, such as other traffic participants and stationary objects. CRHS (Cooperative Resilience and Healing System) tools enable self-protection actions whenever a compromising situation is detected in relation to assets, vehicles, operations, or the system itself. TDMS (Trust and Data Management System) tools establish a secure and trusted environment for data in a collaborative and cooperative context, both for infra-structure and assets, as well as for citizen's data, such as drivers or pedestrians with special attention to privacy considerations. By defining a collaborative en-vironment between the different tools to respond to new threats, risks and attacks SELFY facilitates the comprehension of new challenges in the cybersecurity as-pect of CCAMs.</abstract>
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