--- _id: '48946' abstract: - lang: ger text: inhalt Der verlässliche Betrieb von technischen Produkten wird zunehmend durch bewusste Angriffe bedroht. Vollständige Sicherheit ist dabei nicht möglich, durchschlagende Angriffe sind unvermeidbar (Assume Breach). Dies erfordert einen Paradigmenwechsel in der sicherheitsgerechten Entwicklung mechatronischer und cyber-physischer Systeme hin zu Defense-in-Depth. Systeme müssen so ausgelegt werden, dass sie auch bei gezielten Angriffen möglichst hohe Zuverlässigkeit und Sicherheit gewährleisten. Der hier beschriebene Lösungsansatz erweitert das Systemmodell um Angriffsszenarien und Verteidigungslinien. Diese werden am Beispiel eines industriellen Schließsystems zur Anlagensicherheit erläutert. Entwickler werden sensibilisiert, Angriffe systematisch zu berücksichtigen und interdisziplinär Verteidigungselemente gegenüber Bedrohungen und Angriffen zu spezifizieren. - lang: eng text: The reliable operation of technical products is increasingly threatened by deliberate attacks. Complete security is not possible, striking attacks are unavoidable (assume breach). This requires a paradigm shift in security-oriented engineering of mechatronic and cyber-physical systems towards Defense-in-Depth. Systems need to be engineered in a way that full reliability and security are ensured even in case of targeted attacks. The solution approach described here expands the system model to include attack scenarios and lines of defence. It is applied to an industrial locking system for plant security as an example. Developers are sensitised to systematically consider attacks and to specify interdisciplinary defence elements against threats and attacks. article_type: original author: - first_name: Iris full_name: Gräßler, Iris id: '47565' last_name: Gräßler orcid: 0000-0001-5765-971X - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 - first_name: Dominik full_name: Wiechel, Dominik id: '67161' last_name: Wiechel - first_name: Jens full_name: Pottebaum, Jens id: '405' last_name: Pottebaum orcid: http://orcid.org/0000-0001-8778-2989 citation: ama: 'Gräßler I, Bodden E, Wiechel D, Pottebaum J. Defense-in-Depth als neues Paradigma der sicherheitsgerechten Produktentwicklung: interdisziplinäre, bedrohungsbewusste und lösungsorientierte Security. Konstruktion. 2023;75(11-12):60-65. doi:10.37544/0720-5953-2023-11-12-60' apa: 'Gräßler, I., Bodden, E., Wiechel, D., & Pottebaum, J. (2023). Defense-in-Depth als neues Paradigma der sicherheitsgerechten Produktentwicklung: interdisziplinäre, bedrohungsbewusste und lösungsorientierte Security. Konstruktion, 75(11–12), 60–65. https://doi.org/10.37544/0720-5953-2023-11-12-60' bibtex: '@article{Gräßler_Bodden_Wiechel_Pottebaum_2023, title={Defense-in-Depth als neues Paradigma der sicherheitsgerechten Produktentwicklung: interdisziplinäre, bedrohungsbewusste und lösungsorientierte Security}, volume={75}, DOI={10.37544/0720-5953-2023-11-12-60}, number={11–12}, journal={Konstruktion}, publisher={VDI Fachmedien GmbH and Co. KG}, author={Gräßler, Iris and Bodden, Eric and Wiechel, Dominik and Pottebaum, Jens}, year={2023}, pages={60–65} }' chicago: 'Gräßler, Iris, Eric Bodden, Dominik Wiechel, and Jens Pottebaum. “Defense-in-Depth als neues Paradigma der sicherheitsgerechten Produktentwicklung: interdisziplinäre, bedrohungsbewusste und lösungsorientierte Security.” Konstruktion 75, no. 11–12 (2023): 60–65. https://doi.org/10.37544/0720-5953-2023-11-12-60.' ieee: 'I. Gräßler, E. Bodden, D. Wiechel, and J. Pottebaum, “Defense-in-Depth als neues Paradigma der sicherheitsgerechten Produktentwicklung: interdisziplinäre, bedrohungsbewusste und lösungsorientierte Security,” Konstruktion, vol. 75, no. 11–12, pp. 60–65, 2023, doi: 10.37544/0720-5953-2023-11-12-60.' mla: 'Gräßler, Iris, et al. “Defense-in-Depth als neues Paradigma der sicherheitsgerechten Produktentwicklung: interdisziplinäre, bedrohungsbewusste und lösungsorientierte Security.” Konstruktion, vol. 75, no. 11–12, VDI Fachmedien GmbH and Co. KG, 2023, pp. 60–65, doi:10.37544/0720-5953-2023-11-12-60.' short: I. Gräßler, E. Bodden, D. Wiechel, J. Pottebaum, Konstruktion 75 (2023) 60–65. date_created: 2023-11-16T08:23:12Z date_updated: 2023-12-20T14:10:51Z department: - _id: '152' - _id: '76' doi: 10.37544/0720-5953-2023-11-12-60 intvolume: ' 75' issue: 11-12 keyword: - Mechanical Engineering - Mechanics of Materials - General Materials Science - Theoretical Computer Science language: - iso: ger page: 60-65 publication: Konstruktion publication_identifier: issn: - 0720-5953 publication_status: published publisher: VDI Fachmedien GmbH and Co. KG quality_controlled: '1' status: public title: 'Defense-in-Depth als neues Paradigma der sicherheitsgerechten Produktentwicklung: interdisziplinäre, bedrohungsbewusste und lösungsorientierte Security' type: journal_article user_id: '405' volume: 75 year: '2023' ... --- _id: '46500' abstract: - lang: eng text: The security of Industrial Control Systems is relevant both for reliable production system operations and for high-quality throughput in terms of manufactured products. Security measures are designed, operated and maintained by different roles along product and production system lifecycles. Defense-in-Depth as a paradigm builds upon the assumption that breaches are unavoidable. The paper at hand provides an analysis of roles, corresponding Human Factors and their relevance for data theft and sabotage attacks. The resulting taxonomy is reflected by an example related to Additive Manufacturing. The results assist in both designing and redesigning Industrial Control System as part of an entire production system so that Defense-in-Depth with regard to Human Factors is built in by design. author: - first_name: Jens full_name: Pottebaum, Jens id: '405' last_name: Pottebaum orcid: http://orcid.org/0000-0001-8778-2989 - first_name: Jost full_name: Rossel, Jost id: '58331' last_name: Rossel orcid: 0000-0002-3182-4059 - first_name: Juraj full_name: Somorovsky, Juraj id: '83504' last_name: Somorovsky orcid: 0000-0002-3593-7720 - first_name: Yasemin full_name: Acar, Yasemin id: '94636' last_name: Acar - first_name: René full_name: Fahr, René id: '111' last_name: Fahr - first_name: Patricia full_name: Arias Cabarcos, Patricia id: '92804' last_name: Arias Cabarcos - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 - first_name: Iris full_name: Gräßler, Iris id: '47565' last_name: Gräßler orcid: 0000-0001-5765-971X citation: ama: 'Pottebaum J, Rossel J, Somorovsky J, et al. Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth. In: 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). IEEE; 2023:379-385. doi:10.1109/eurospw59978.2023.00048' apa: Pottebaum, J., Rossel, J., Somorovsky, J., Acar, Y., Fahr, R., Arias Cabarcos, P., Bodden, E., & Gräßler, I. (2023). Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth. 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 379–385. https://doi.org/10.1109/eurospw59978.2023.00048 bibtex: '@inproceedings{Pottebaum_Rossel_Somorovsky_Acar_Fahr_Arias Cabarcos_Bodden_Gräßler_2023, title={Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth}, DOI={10.1109/eurospw59978.2023.00048}, booktitle={2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)}, publisher={IEEE}, author={Pottebaum, Jens and Rossel, Jost and Somorovsky, Juraj and Acar, Yasemin and Fahr, René and Arias Cabarcos, Patricia and Bodden, Eric and Gräßler, Iris}, year={2023}, pages={379–385} }' chicago: Pottebaum, Jens, Jost Rossel, Juraj Somorovsky, Yasemin Acar, René Fahr, Patricia Arias Cabarcos, Eric Bodden, and Iris Gräßler. “Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth.” In 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), 379–85. IEEE, 2023. https://doi.org/10.1109/eurospw59978.2023.00048. ieee: 'J. Pottebaum et al., “Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth,” in 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Delft, Netherlands, 2023, pp. 379–385, doi: 10.1109/eurospw59978.2023.00048.' mla: Pottebaum, Jens, et al. “Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth.” 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), IEEE, 2023, pp. 379–85, doi:10.1109/eurospw59978.2023.00048. short: 'J. Pottebaum, J. Rossel, J. Somorovsky, Y. Acar, R. Fahr, P. Arias Cabarcos, E. Bodden, I. Gräßler, in: 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), IEEE, 2023, pp. 379–385.' conference: end_date: 2023-07-07 location: Delft, Netherlands name: 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) start_date: 2023-07-03 date_created: 2023-08-15T12:21:05Z date_updated: 2023-12-20T14:12:25Z department: - _id: '34' - _id: '740' - _id: '152' - _id: '76' doi: 10.1109/eurospw59978.2023.00048 keyword: - Defense-in-Depth - Human Factors - Production Engineering - Product Design - Systems Engineering language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10190647 page: 379-385 publication: 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) publication_status: published publisher: IEEE quality_controlled: '1' status: public title: Re-Envisioning Industrial Control Systems Security by Considering Human Factors as a Core Element of Defense-in-Depth type: conference user_id: '405' year: '2023' ... --- _id: '44146' abstract: - lang: eng text: "Many Android applications collect data from users. When they do, they must\r\nprotect this collected data according to the current legal frameworks. Such\r\ndata protection has become even more important since the European Union rolled\r\nout the General Data Protection Regulation (GDPR). App developers have limited\r\ntool support to reason about data protection throughout their app development\r\nprocess. Although many Android applications state a privacy policy, privacy\r\npolicy compliance checks are currently manual, expensive, and prone to error.\r\nOne of the major challenges in privacy audits is the significant gap between\r\nlegal privacy statements (in English text) and technical measures that Android\r\napps use to protect their user's privacy. In this thesis, we will explore to\r\nwhat extent we can use static analysis to answer important questions regarding\r\ndata protection. Our main goal is to design a tool based approach that aids app\r\ndevelopers and auditors in ensuring data protection in Android applications,\r\nbased on automated static program analysis." author: - first_name: Mugdha full_name: Khedkar, Mugdha id: '88024' last_name: Khedkar citation: ama: 'Khedkar M. Static Analysis for Android GDPR Compliance Assurance. In: Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23). doi:10.1109/ICSE-Companion58688.2023.00054' apa: 'Khedkar, M. (n.d.). Static Analysis for Android GDPR Compliance Assurance. Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23). https://doi.org/10.1109/ICSE-Companion58688.2023.00054' bibtex: '@inproceedings{Khedkar, title={Static Analysis for Android GDPR Compliance Assurance}, DOI={10.1109/ICSE-Companion58688.2023.00054}, booktitle={Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23)}, author={Khedkar, Mugdha} }' chicago: 'Khedkar, Mugdha. “Static Analysis for Android GDPR Compliance Assurance.” In Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23), n.d. https://doi.org/10.1109/ICSE-Companion58688.2023.00054.' ieee: 'M. Khedkar, “Static Analysis for Android GDPR Compliance Assurance,” doi: 10.1109/ICSE-Companion58688.2023.00054.' mla: 'Khedkar, Mugdha. “Static Analysis for Android GDPR Compliance Assurance.” Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23), doi:10.1109/ICSE-Companion58688.2023.00054.' short: 'M. Khedkar, in: Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23), n.d.' date_created: 2023-04-24T12:14:17Z date_updated: 2024-03-03T14:45:09Z ddc: - '004' department: - _id: '76' doi: 10.1109/ICSE-Companion58688.2023.00054 external_id: arxiv: - '2303.09606' file: - access_level: closed content_type: application/pdf creator: khedkarm date_created: 2023-04-24T12:15:27Z date_updated: 2023-04-24T12:15:27Z file_id: '44147' file_name: 2023047614.pdf file_size: 85313 relation: main_file success: 1 file_date_updated: 2023-04-24T12:15:27Z has_accepted_license: '1' keyword: - static analysis - data protection and privacy - GDPR compliance language: - iso: eng publication: 'Proceedings of the 45th International Conference on Software Engineering: Companion Proceedings (ICSE ‘23)' publication_status: accepted status: public title: Static Analysis for Android GDPR Compliance Assurance type: conference user_id: '88024' year: '2023' ... --- _id: '52662' abstract: - lang: eng text: Static analysis tools support developers in detecting potential coding issues, such as bugs or vulnerabilities. Research emphasizes technical challenges of such tools but also mentions severe usability shortcomings. These shortcomings hinder the adoption of static analysis tools, and user dissatisfaction may even lead to tool abandonment. To comprehensively assess the state of the art, we present the first systematic usability evaluation of a wide range of static analysis tools. We derived a set of 36 relevant criteria from the literature and used them to evaluate a total of 46 static analysis tools complying with our inclusion and exclusion criteria - a representative set of mainly non-proprietary tools. The evaluation against the usability criteria in a multiple-raters approach shows that two thirds of the considered tools off er poor warning messages, while about three-quarters provide hardly any fix support. Furthermore, the integration of user knowledge is strongly neglected, which could be used for instance, to improve handling of false positives. Finally, issues regarding workflow integration and specialized user interfaces are revealed. These findings should prove useful in guiding and focusing further research and development in user experience for static code analyses. author: - first_name: Marcus full_name: Nachtigall, Marcus id: '41213' last_name: Nachtigall - first_name: Michael full_name: Schlichtig, Michael id: '32312' last_name: Schlichtig orcid: 0000-0001-6600-6171 - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 citation: ama: 'Nachtigall M, Schlichtig M, Bodden E. Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale. In: Software Engineering 2023. Gesellschaft für Informatik e.V.; 2023:95–96.' apa: Nachtigall, M., Schlichtig, M., & Bodden, E. (2023). Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale. In Software Engineering 2023 (pp. 95–96). Gesellschaft für Informatik e.V. bibtex: '@inbook{Nachtigall_Schlichtig_Bodden_2023, place={Bonn}, title={Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale}, booktitle={Software Engineering 2023}, publisher={Gesellschaft für Informatik e.V.}, author={Nachtigall, Marcus and Schlichtig, Michael and Bodden, Eric}, year={2023}, pages={95–96} }' chicago: 'Nachtigall, Marcus, Michael Schlichtig, and Eric Bodden. “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale.” In Software Engineering 2023, 95–96. Bonn: Gesellschaft für Informatik e.V., 2023.' ieee: 'M. Nachtigall, M. Schlichtig, and E. Bodden, “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale,” in Software Engineering 2023, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 95–96.' mla: Nachtigall, Marcus, et al. “Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale.” Software Engineering 2023, Gesellschaft für Informatik e.V., 2023, pp. 95–96. short: 'M. Nachtigall, M. Schlichtig, E. Bodden, in: Software Engineering 2023, Gesellschaft für Informatik e.V., Bonn, 2023, pp. 95–96.' date_created: 2024-03-20T09:26:29Z date_updated: 2024-03-20T09:27:41Z department: - _id: '76' keyword: - Automated static analysis - Software usability language: - iso: eng main_file_link: - url: https://dl.gi.de/items/5afe477f-2f6a-4b3d-b391-f024baf0b7a5 page: 95–96 place: Bonn publication: Software Engineering 2023 publication_identifier: isbn: - 978-3-88579-726-5 publisher: Gesellschaft für Informatik e.V. status: public title: Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale type: book_chapter user_id: '32312' year: '2023' ... --- _id: '52660' abstract: - lang: eng text: Application Programming Interfaces (APIs) are the primary mechanism developers use to obtain access to third-party algorithms and services. Unfortunately, APIs can be misused, which can have catastrophic consequences, especially if the APIs provide security-critical functionalities like cryptography. Understanding what API misuses are, and how they are caused, is important to prevent them, eg, with API misuse detectors. However, definitions for API misuses and related terms in literature vary. This paper presents a systematic literature review to clarify these terms and introduces FUM, a novel Framework for API Usage constraint and Misuse classification. The literature review revealed that API misuses are violations of API usage constraints. To address this, we provide unified definitions and use them to derive FUM. To assess the extent to which FUM aids in determining and guiding the improvement of an API misuses detector’s capabilities, we performed a case study on the state-of the-art misuse detection tool CogniCrypt. The study showed that FUM can be used to properly assess CogniCrypt’s capabilities, identify weaknesses and assist in deriving mitigations and improvements. author: - first_name: Michael full_name: Schlichtig, Michael id: '32312' last_name: Schlichtig orcid: 0000-0001-6600-6171 - first_name: Steffen full_name: Sassalla, Steffen last_name: Sassalla - first_name: Krishna full_name: Narasimhan, Krishna last_name: Narasimhan - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 citation: ama: 'Schlichtig M, Sassalla S, Narasimhan K, Bodden E. Introducing FUM: A Framework for API Usage Constraint and Misuse Classification. In: Software Engineering 2023. Gesellschaft für Informatik e.V.; 2023:105–106.' apa: 'Schlichtig, M., Sassalla, S., Narasimhan, K., & Bodden, E. (2023). Introducing FUM: A Framework for API Usage Constraint and Misuse Classification. In Software Engineering 2023 (pp. 105–106). Gesellschaft für Informatik e.V.' bibtex: '@inbook{Schlichtig_Sassalla_Narasimhan_Bodden_2023, place={Bonn}, title={Introducing FUM: A Framework for API Usage Constraint and Misuse Classification}, booktitle={Software Engineering 2023}, publisher={Gesellschaft für Informatik e.V.}, author={Schlichtig, Michael and Sassalla, Steffen and Narasimhan, Krishna and Bodden, Eric}, year={2023}, pages={105–106} }' chicago: 'Schlichtig, Michael, Steffen Sassalla, Krishna Narasimhan, and Eric Bodden. “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification.” In Software Engineering 2023, 105–106. Bonn: Gesellschaft für Informatik e.V., 2023.' ieee: 'M. Schlichtig, S. Sassalla, K. Narasimhan, and E. Bodden, “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification,” in Software Engineering 2023, Bonn: Gesellschaft für Informatik e.V., 2023, pp. 105–106.' mla: 'Schlichtig, Michael, et al. “Introducing FUM: A Framework for API Usage Constraint and Misuse Classification.” Software Engineering 2023, Gesellschaft für Informatik e.V., 2023, pp. 105–106.' short: 'M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: Software Engineering 2023, Gesellschaft für Informatik e.V., Bonn, 2023, pp. 105–106.' date_created: 2024-03-20T09:22:27Z date_updated: 2024-03-20T09:25:46Z department: - _id: '76' keyword: - API misuses API usage constraints - classification framework - API misuse detection - static analysis language: - iso: eng main_file_link: - url: https://dl.gi.de/items/c4825557-cf3d-4038-933a-d8f95fd324a2 page: 105–106 place: Bonn publication: Software Engineering 2023 publication_identifier: isbn: - 978-3-88579-726-5 publisher: Gesellschaft für Informatik e.V. status: public title: 'Introducing FUM: A Framework for API Usage Constraint and Misuse Classification' type: book_chapter user_id: '32312' year: '2023' ... --- _id: '31844' abstract: - lang: eng text: "Encrypting data before sending it to the cloud ensures data confidentiality but requires the cloud to compute on encrypted data. Trusted execution environments, such as Intel SGX enclaves, promise to provide a secure environment in which data can be decrypted and then processed. However, vulnerabilities in the executed program give attackers ample opportunities to execute arbitrary code inside the enclave. This code can modify the dataflow of the program and leak secrets via SGX side channels. Fully homomorphic encryption would be an alternative to compute on encrypted data without data leaks. However, due to its high computational complexity, its applicability to general-purpose computing remains limited. Researchers have made several proposals for transforming programs to perform encrypted computations on less powerful encryption schemes. Yet current approaches do not support programs making control-flow decisions based on encrypted data.\r\n \r\n \ We introduce the concept of\r\n dataflow authentication\r\n \ (DFAuth) to enable such programs. DFAuth prevents an adversary from arbitrarily deviating from the dataflow of a program. Our technique hence offers protections against the side-channel attacks described previously. We implemented two flavors of DFAuth, a Java bytecode-to-bytecode compiler, and an SGX enclave running a small and program-independent trusted code base. We applied DFAuth to a neural network performing machine learning on sensitive medical data and a smart charging scheduler for electric vehicles. Our transformation yields a neural network with encrypted weights, which can be evaluated on encrypted inputs in\r\n \r\n \\( 12.55 \\,\\mathrm{m}\\mathrm{s} \\)\r\n \ \r\n . Our protected scheduler is capable of updating the encrypted charging plan in approximately 1.06 seconds.\r\n \ " author: - first_name: Andreas full_name: Fischer, Andreas last_name: Fischer - first_name: Benny full_name: Fuhry, Benny last_name: Fuhry - first_name: Jörn full_name: Kußmaul, Jörn last_name: Kußmaul - first_name: Jonas full_name: Janneck, Jonas last_name: Janneck - first_name: Florian full_name: Kerschbaum, Florian last_name: Kerschbaum - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 citation: ama: Fischer A, Fuhry B, Kußmaul J, Janneck J, Kerschbaum F, Bodden E. Computation on Encrypted Data Using Dataflow Authentication. ACM Transactions on Privacy and Security. 2022;25(3):1-36. doi:10.1145/3513005 apa: Fischer, A., Fuhry, B., Kußmaul, J., Janneck, J., Kerschbaum, F., & Bodden, E. (2022). Computation on Encrypted Data Using Dataflow Authentication. ACM Transactions on Privacy and Security, 25(3), 1–36. https://doi.org/10.1145/3513005 bibtex: '@article{Fischer_Fuhry_Kußmaul_Janneck_Kerschbaum_Bodden_2022, title={Computation on Encrypted Data Using Dataflow Authentication}, volume={25}, DOI={10.1145/3513005}, number={3}, journal={ACM Transactions on Privacy and Security}, publisher={Association for Computing Machinery (ACM)}, author={Fischer, Andreas and Fuhry, Benny and Kußmaul, Jörn and Janneck, Jonas and Kerschbaum, Florian and Bodden, Eric}, year={2022}, pages={1–36} }' chicago: 'Fischer, Andreas, Benny Fuhry, Jörn Kußmaul, Jonas Janneck, Florian Kerschbaum, and Eric Bodden. “Computation on Encrypted Data Using Dataflow Authentication.” ACM Transactions on Privacy and Security 25, no. 3 (2022): 1–36. https://doi.org/10.1145/3513005.' ieee: 'A. Fischer, B. Fuhry, J. Kußmaul, J. Janneck, F. Kerschbaum, and E. Bodden, “Computation on Encrypted Data Using Dataflow Authentication,” ACM Transactions on Privacy and Security, vol. 25, no. 3, pp. 1–36, 2022, doi: 10.1145/3513005.' mla: Fischer, Andreas, et al. “Computation on Encrypted Data Using Dataflow Authentication.” ACM Transactions on Privacy and Security, vol. 25, no. 3, Association for Computing Machinery (ACM), 2022, pp. 1–36, doi:10.1145/3513005. short: A. Fischer, B. Fuhry, J. Kußmaul, J. Janneck, F. Kerschbaum, E. Bodden, ACM Transactions on Privacy and Security 25 (2022) 1–36. date_created: 2022-06-09T10:28:03Z date_updated: 2022-06-09T10:29:19Z department: - _id: '76' doi: 10.1145/3513005 intvolume: ' 25' issue: '3' keyword: - Safety - Risk - Reliability and Quality - General Computer Science language: - iso: eng page: 1-36 publication: ACM Transactions on Privacy and Security publication_identifier: issn: - 2471-2566 - 2471-2574 publication_status: published publisher: Association for Computing Machinery (ACM) status: public title: Computation on Encrypted Data Using Dataflow Authentication type: journal_article user_id: '15249' volume: 25 year: '2022' ... --- _id: '32409' abstract: - lang: eng text: 'Context: Cryptographic APIs are often misused in real-world applications. Therefore, many cryptographic API misuse detection tools have been introduced. However, there exists no established reference benchmark for a fair and comprehensive comparison and evaluation of these tools. While there are benchmarks, they often only address a subset of the domain or were only used to evaluate a subset of existing misuse detection tools. Objective: To fairly compare cryptographic API misuse detection tools and to drive future development in this domain, we will devise such a benchmark. Openness and transparency in the generation process are key factors to fairly generate and establish the needed benchmark. Method: We propose an approach where we derive the benchmark generation methodology from the literature which consists of general best practices in benchmarking and domain-specific benchmark generation. A part of this methodology is transparency and openness of the generation process, which is achieved by pre-registering this work. Based on our methodology we design CamBench, a fair "Cryptographic API Misuse Detection Tool Benchmark Suite". We will implement the first version of CamBench limiting the domain to Java, the JCA, and static analyses. Finally, we will use CamBench to compare current misuse detection tools and compare CamBench to related benchmarks of its domain.' author: - first_name: Michael full_name: Schlichtig, Michael id: '32312' last_name: Schlichtig orcid: 0000-0001-6600-6171 - first_name: Anna-Katharina full_name: Wickert, Anna-Katharina last_name: Wickert - first_name: Stefan full_name: Krüger, Stefan last_name: Krüger - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 - first_name: Mira full_name: Mezini, Mira last_name: Mezini citation: ama: Schlichtig M, Wickert A-K, Krüger S, Bodden E, Mezini M. CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite.; 2022. doi:10.48550/ARXIV.2204.06447 apa: Schlichtig, M., Wickert, A.-K., Krüger, S., Bodden, E., & Mezini, M. (2022). CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. https://doi.org/10.48550/ARXIV.2204.06447 bibtex: '@book{Schlichtig_Wickert_Krüger_Bodden_Mezini_2022, title={CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite}, DOI={10.48550/ARXIV.2204.06447}, author={Schlichtig, Michael and Wickert, Anna-Katharina and Krüger, Stefan and Bodden, Eric and Mezini, Mira}, year={2022} }' chicago: Schlichtig, Michael, Anna-Katharina Wickert, Stefan Krüger, Eric Bodden, and Mira Mezini. CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite, 2022. https://doi.org/10.48550/ARXIV.2204.06447. ieee: M. Schlichtig, A.-K. Wickert, S. Krüger, E. Bodden, and M. Mezini, CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. 2022. mla: Schlichtig, Michael, et al. CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. 2022, doi:10.48550/ARXIV.2204.06447. short: M. Schlichtig, A.-K. Wickert, S. Krüger, E. Bodden, M. Mezini, CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite, 2022. date_created: 2022-07-25T07:56:59Z date_updated: 2022-07-25T10:23:44Z department: - _id: '76' doi: 10.48550/ARXIV.2204.06447 keyword: - cryptography - benchmark - API misuse - static analysis language: - iso: eng related_material: link: - relation: confirmation url: https://arxiv.org/abs/2204.06447 status: public title: CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite type: misc user_id: '32312' year: '2022' ... --- _id: '32410' abstract: - lang: eng text: "Static analysis tools support developers in detecting potential coding issues, such as bugs or vulnerabilities. Research on static analysis emphasizes its technical challenges but also mentions severe usability shortcomings. These shortcomings hinder the adoption of static analysis tools, and in some cases, user dissatisfaction even leads to tool abandonment.\r\nTo comprehensively assess the current state of the art, this paper presents the first systematic usability evaluation in a wide range of static analysis tools. We derived a set of 36 relevant criteria from the scientific literature and gathered a collection of 46 static analysis tools complying with our inclusion and exclusion criteria - a representative set of mainly non-proprietary tools. Then, we evaluated how well these tools fulfill the aforementioned criteria.\r\nThe evaluation shows that more than half of the considered tools offer poor warning messages, while about three-quarters of the tools provide hardly any fix support. Furthermore, the integration of user knowledge is strongly neglected, which could be used for improved handling of false positives and tuning the results for the corresponding developer. Finally, issues regarding workflow integration and specialized user interfaces are proved further.\r\nThese findings should prove useful in guiding and focusing further research and development in the area of user experience for static code analyses." author: - first_name: Marcus full_name: Nachtigall, Marcus id: '41213' last_name: Nachtigall - first_name: Michael full_name: Schlichtig, Michael id: '32312' last_name: Schlichtig orcid: 0000-0001-6600-6171 - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 citation: ama: 'Nachtigall M, Schlichtig M, Bodden E. A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools. In: Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis. ACM; 2022:532-543. doi:10.1145/3533767' apa: Nachtigall, M., Schlichtig, M., & Bodden, E. (2022). A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools. Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 532–543. https://doi.org/10.1145/3533767 bibtex: '@inproceedings{Nachtigall_Schlichtig_Bodden_2022, title={A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools}, DOI={10.1145/3533767}, booktitle={Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis}, publisher={ACM}, author={Nachtigall, Marcus and Schlichtig, Michael and Bodden, Eric}, year={2022}, pages={532–543} }' chicago: Nachtigall, Marcus, Michael Schlichtig, and Eric Bodden. “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools.” In Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 532–43. ACM, 2022. https://doi.org/10.1145/3533767. ieee: 'M. Nachtigall, M. Schlichtig, and E. Bodden, “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools,” in Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 2022, pp. 532–543, doi: 10.1145/3533767.' mla: Nachtigall, Marcus, et al. “A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools.” Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, ACM, 2022, pp. 532–43, doi:10.1145/3533767. short: 'M. Nachtigall, M. Schlichtig, E. Bodden, in: Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, ACM, 2022, pp. 532–543.' date_created: 2022-07-25T08:02:36Z date_updated: 2022-07-26T11:42:23Z department: - _id: '76' doi: 10.1145/3533767 keyword: - Automated static analysis - Software usability language: - iso: eng page: 532 - 543 publication: Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis publication_identifier: isbn: - '9781450393799' publication_status: published publisher: ACM quality_controlled: '1' related_material: link: - relation: confirmation url: https://dl.acm.org/doi/10.1145/3533767.3534374 status: public title: A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools type: conference user_id: '32312' year: '2022' ... --- _id: '31133' abstract: - lang: eng text: Application Programming Interfaces (APIs) are the primary mechanism that developers use to obtain access to third-party algorithms and services. Unfortunately, APIs can be misused, which can have catastrophic consequences, especially if the APIs provide security-critical functionalities like cryptography. Understanding what API misuses are, and for what reasons they are caused, is important to prevent them, e.g., with API misuse detectors. However, definitions and nominations for API misuses and related terms in literature vary and are diverse. This paper addresses the problem of scattered knowledge and definitions of API misuses by presenting a systematic literature review on the subject and introducing FUM, a novel Framework for API Usage constraint and Misuse classification. The literature review revealed that API misuses are violations of API usage constraints. To capture this, we provide unified definitions and use them to derive FUM. To assess the extent to which FUM aids in determining and guiding the improvement of an API misuses detectors' capabilities, we performed a case study on CogniCrypt, a state-of-the-art misuse detector for cryptographic APIs. The study showed that FUM can be used to properly assess CogniCrypt's capabilities, identify weaknesses and assist in deriving mitigations and improvements. And it appears that also more generally FUM can aid the development and improvement of misuse detection tools. author: - first_name: Michael full_name: Schlichtig, Michael id: '32312' last_name: Schlichtig orcid: 0000-0001-6600-6171 - first_name: Steffen full_name: Sassalla, Steffen last_name: Sassalla - first_name: Krishna full_name: Narasimhan, Krishna last_name: Narasimhan - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 citation: ama: 'Schlichtig M, Sassalla S, Narasimhan K, Bodden E. FUM - A Framework for API Usage constraint and Misuse Classification. In: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). ; 2022:673-684. doi:https://doi.org/10.1109/SANER53432.2022.00085' apa: Schlichtig, M., Sassalla, S., Narasimhan, K., & Bodden, E. (2022). FUM - A Framework for API Usage constraint and Misuse Classification. 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 673–684. https://doi.org/10.1109/SANER53432.2022.00085 bibtex: '@inproceedings{Schlichtig_Sassalla_Narasimhan_Bodden_2022, title={FUM - A Framework for API Usage constraint and Misuse Classification}, DOI={https://doi.org/10.1109/SANER53432.2022.00085}, booktitle={2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)}, author={Schlichtig, Michael and Sassalla, Steffen and Narasimhan, Krishna and Bodden, Eric}, year={2022}, pages={673–684} }' chicago: Schlichtig, Michael, Steffen Sassalla, Krishna Narasimhan, and Eric Bodden. “FUM - A Framework for API Usage Constraint and Misuse Classification.” In 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 673–84, 2022. https://doi.org/10.1109/SANER53432.2022.00085. ieee: 'M. Schlichtig, S. Sassalla, K. Narasimhan, and E. Bodden, “FUM - A Framework for API Usage constraint and Misuse Classification,” in 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–684, doi: https://doi.org/10.1109/SANER53432.2022.00085.' mla: Schlichtig, Michael, et al. “FUM - A Framework for API Usage Constraint and Misuse Classification.” 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–84, doi:https://doi.org/10.1109/SANER53432.2022.00085. short: 'M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp. 673–684.' date_created: 2022-05-09T13:04:10Z date_updated: 2022-07-26T11:42:30Z department: - _id: '76' doi: https://doi.org/10.1109/SANER53432.2022.00085 keyword: - API misuses - API usage constraints - classification framework - API misuse detection - static analysis language: - iso: eng page: 673 - 684 publication: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) quality_controlled: '1' related_material: link: - relation: confirmation url: https://ieeexplore.ieee.org/document/9825763 status: public title: FUM - A Framework for API Usage constraint and Misuse Classification type: conference user_id: '32312' year: '2022' ... --- _id: '34057' author: - first_name: Faruk full_name: Pasic, Faruk last_name: Pasic - first_name: Matthias full_name: Becker, Matthias last_name: Becker citation: ama: 'Pasic F, Becker M. Domain-specific Language for Condition Monitoring Software Development. In: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE; 2022. doi:10.1109/etfa52439.2022.9921730' apa: Pasic, F., & Becker, M. (2022). Domain-specific Language for Condition Monitoring Software Development. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa52439.2022.9921730 bibtex: '@inproceedings{Pasic_Becker_2022, title={Domain-specific Language for Condition Monitoring Software Development}, DOI={10.1109/etfa52439.2022.9921730}, booktitle={2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)}, publisher={IEEE}, author={Pasic, Faruk and Becker, Matthias}, year={2022} }' chicago: Pasic, Faruk, and Matthias Becker. “Domain-Specific Language for Condition Monitoring Software Development.” In 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2022. https://doi.org/10.1109/etfa52439.2022.9921730. ieee: 'F. Pasic and M. Becker, “Domain-specific Language for Condition Monitoring Software Development,” 2022, doi: 10.1109/etfa52439.2022.9921730.' mla: Pasic, Faruk, and Matthias Becker. “Domain-Specific Language for Condition Monitoring Software Development.” 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022, doi:10.1109/etfa52439.2022.9921730. short: 'F. Pasic, M. Becker, in: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022.' date_created: 2022-11-10T14:30:16Z date_updated: 2022-11-10T14:30:42Z department: - _id: '241' - _id: '76' doi: 10.1109/etfa52439.2022.9921730 publication: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) publication_status: published publisher: IEEE status: public title: Domain-specific Language for Condition Monitoring Software Development type: conference user_id: '49576' year: '2022' ...