Wissenschaftlicher Mitarbeiter / Doktorand
Kontakt: +49 (0) 6151 / 1620943 | steinbrink(at)peasec.tu-darmstadt.de
PGP: Öffentlicher Schlüssel (bis 29.03.2025)
Technische Universität Darmstadt, Fachbereich Informatik, Wissenschaft und Technik für Frieden und Sicherheit (PEASEC) Pankratiusstraße 2, 64289 Darmstadt, Raum 111
Enno Steinbrink, M.Sc. ist wissenschaftlicher Mitarbeiter und Doktorand am Lehrstuhl für Wissenschaft und Technik für Frieden und Sicherheit (PEASEC) im Fachbereich Informatik der Technischen Universität Darmstadt. Er promoviert dort im Rahmen des DFG Graduiertenkolleg „Privatheit und Vertrauen für mobile Nutzerinnen und Nutzer“. Seine wissenschaftlichen Interessen liegen im Bereich Mensch-Computer-Interaktion im Zusammenhang von Daten und Privacy.
Er studierte Psychologie an der Eberhard Karls Universität Tübingen (B.Sc., M.Sc.) sowie Praktische Informatik an der Fernuniversität Hagen und arbeitete neben dem Studium in den Bereichen Software-Entwicklung und Data Science.
Publikationen
2024
[BibTeX] [Abstract] [Download PDF]
Digital technology and smartphones provide great opportunities to support crisis response measures. During the COVID-19 pandemic, many countries introduced contact tracing apps (CTAs) to prevent the virus’s spread and identify infection clusters. Because wide acceptance is necessary for these apps to work, it has been a subject of research. Past research often highlighted the role of trust for acceptance and suggested that technical transparency by opening the source code can help to build trust. For this reason, we studied the acceptance of two German apps: the Corona-Warn-App (CWA), which was developed as open-source software early on, and the Luca app, which did not publish the source code initially. We conducted a multinomial logistic regression testing effects on the adoption of (1) only the CWA, (2) only the Luca app, or (3) both apps. As predictors, we considered the role of trust in the app publisher and the government and controlled for predictors relevant to past research. We found trust to have a significant effect on the acceptance of the apps. A self-reported understanding of the term “open-source software” and a perceived threat by COVID-19 had a positive effect for the Corona-Warn-App or both apps but not for the Luca app alone. Being from Eastern Germany lowered the acceptance of the Luca app or both apps. Our findings can add to previous CTA acceptance research and provide insights for policymakers for future digital crisis measures, especially for populations comparable to the German population regarding government trust and privacy attitudes.
@article{steinbrink_impact_2024,
title = {The {Impact} of {Transparency} and {Trust} on {User} {Acceptance} of {Contact} {Tracing} {Apps}: {Implications} for the {Adoption} of {Crisis} {Response} {Apps}},
issn = {2212-4209},
url = {https://www.sciencedirect.com/science/article/pii/S2212420924004230},
doi = {10.1016/j.ijdrr.2024.104661},
abstract = {Digital technology and smartphones provide great opportunities to support crisis response measures. During the COVID-19 pandemic, many countries introduced contact tracing apps (CTAs) to prevent the virus’s spread and identify infection clusters. Because wide acceptance is necessary for these apps to work, it has been a subject of research. Past research often highlighted the role of trust for acceptance and suggested that technical transparency by opening the source code can help to build trust. For this reason, we studied the acceptance of two German apps: the Corona-Warn-App (CWA), which was developed as open-source software early on, and the Luca app, which did not publish the source code initially. We conducted a multinomial logistic regression testing effects on the adoption of (1) only the CWA, (2) only the Luca app, or (3) both apps. As predictors, we considered the role of trust in the app publisher and the government and controlled for predictors relevant to past research. We found trust to have a significant effect on the acceptance of the apps. A self-reported understanding of the term “open-source software” and a perceived threat by COVID-19 had a positive effect for the Corona-Warn-App or both apps but not for the Luca app alone. Being from Eastern Germany lowered the acceptance of the Luca app or both apps. Our findings can add to previous CTA acceptance research and provide insights for policymakers for future digital crisis measures, especially for populations comparable to the German population regarding government trust and privacy attitudes.},
journal = {International Journal of Disaster Risk Reduction},
author = {Steinbrink, Enno and Reuter, Christian},
month = jul,
year = {2024},
keywords = {Crisis, HCI, A-Paper, Projekt-ATHENE-PriVis, Ranking-ImpactFactor, Projekt-GRKPrivacy},
pages = {104661},
}
2023
[BibTeX] [Abstract] [Download PDF]
When considering privacy, context, and environmental circumstances can have a strong influence on individual decisions and user behavior. Especially in crises or threatening situations, privacy may conflict with other values, such as personal safety and health. In other cases, personal or public safety can also be dependent on privacy: the context of flight shows how, for those affected, the value of data protection can increase as a result of an increased threat situation. Thus, when individual sovereignty—the autonomous development of one’s own will—or safety is highly dependent on information flows, people tend to be more protective of their privacy in order to maintain their information sovereignty. But also, the context of agriculture, as part of the critical infrastructure, shows how privacy concerns can affect the adoption of digital tools. With these two examples, flight and migration as well as agriculture, this chapter presents some exemplary results that illustrate the importance of the influence of situational factors on perceived information sovereignty and the evaluation of privacy.
@incollection{steinbrink_privacy_2023,
address = {Cham},
title = {Privacy {Perception} and {Behaviour} in {Safety}-{Critical} {Environments}},
isbn = {978-3-031-28643-8},
url = {https://doi.org/10.1007/978-3-031-28643-8_12},
abstract = {When considering privacy, context, and environmental circumstances can have a strong influence on individual decisions and user behavior. Especially in crises or threatening situations, privacy may conflict with other values, such as personal safety and health. In other cases, personal or public safety can also be dependent on privacy: the context of flight shows how, for those affected, the value of data protection can increase as a result of an increased threat situation. Thus, when individual sovereignty—the autonomous development of one’s own will—or safety is highly dependent on information flows, people tend to be more protective of their privacy in order to maintain their information sovereignty. But also, the context of agriculture, as part of the critical infrastructure, shows how privacy concerns can affect the adoption of digital tools. With these two examples, flight and migration as well as agriculture, this chapter presents some exemplary results that illustrate the importance of the influence of situational factors on perceived information sovereignty and the evaluation of privacy.},
booktitle = {Human {Factors} in {Privacy} {Research}},
publisher = {Springer International Publishing},
author = {Steinbrink, Enno and Biselli, Tom and Linsner, Sebastian and Herbert, Franziska and Reuter, Christian},
editor = {Gerber, Nina and Stöver, Alina and Marky, Karola},
year = {2023},
keywords = {Security, UsableSec, HCI, Projekt-ATHENE-FANCY, Projekt-CROSSING, Projekt-GRKPrivacy},
pages = {237--251},
}
2022
[BibTeX] [Abstract] [Download PDF]
Concise instruments to determine privacy personas – typical privacy-related user groups – are not available at present. Consequently, we aimed to identify them on a privacy knowledge–privacy behavior ratio based on a self-developed instrument. To achieve this, we conducted an item analysis (N = 820) and a confirmatory factor analysis (CFA) (N = 656) of data based on an online study with German participants. Starting with 81 items, we reduced those to an eleven-item questionnaire with the two scales privacy knowledge and privacy behavior. A subsequent cluster analysis (N = 656) revealed three distinct user groups: (1) Fundamentalists scoring high in privacy knowledge and behavior, (2) Pragmatists scoring average in privacy knowledge and behavior and (3) Unconcerned scoring low in privacy knowledge and behavior. In a closer inspection of the questionnaire, the CFAs supported the model with a close global fit based on RMSEA in a training and to a lesser extent in a cross-validation sample. Deficient local fit as well as validity and reliability coefficients well below generally accepted thresholds, however, revealed that the questionnaire in its current form cannot be considered a suitable measurement instrument for determining privacy personas. The results are discussed in terms of related persona conceptualizations, the importance of a methodologically sound investigation of corresponding privacy dimensions and our lessons learned.
@article{biselli_challenges_2022,
title = {On the {Challenges} of {Developing} a {Concise} {Questionnaire} to {Identify} {Privacy} {Personas}},
url = {https://petsymposium.org/2022/files/papers/issue4/popets-2022-0126.pdf},
doi = {10.56553/popets-2022-0126},
abstract = {Concise instruments to determine privacy personas – typical privacy-related user groups – are not available at present. Consequently, we aimed to identify them on a privacy knowledge–privacy behavior ratio based on a self-developed instrument. To achieve this, we conducted an item analysis (N = 820) and a confirmatory factor analysis (CFA) (N = 656) of data based on an online study with German participants. Starting with 81 items, we reduced those to an eleven-item questionnaire with the two scales privacy knowledge and privacy behavior. A subsequent cluster analysis (N = 656) revealed three distinct user groups: (1) Fundamentalists scoring high in privacy knowledge and behavior, (2) Pragmatists scoring average in privacy knowledge and behavior and (3) Unconcerned scoring low in privacy knowledge and behavior. In a closer inspection of the questionnaire, the CFAs supported the model with a close global fit based on RMSEA in a training and to a lesser extent in a cross-validation sample. Deficient local fit as well as validity and reliability coefficients well below generally accepted thresholds, however, revealed that the questionnaire in its current form cannot be considered a suitable measurement instrument for determining privacy personas. The results are discussed in terms of related persona conceptualizations, the importance of a methodologically sound investigation of corresponding privacy dimensions and our lessons learned.},
number = {4},
journal = {Proceedings on Privacy Enhancing Technologies (PoPETs)},
author = {Biselli, Tom and Steinbrink, Enno and Herbert, Franziska and Schmidbauer-Wolf, Gina Maria and Reuter, Christian},
year = {2022},
keywords = {Security, UsableSec, HCI, Projekt-ATHENE-FANCY, Projekt-CROSSING, A-Paper, AuswahlUsableSec, Ranking-CORE-A, Projekt-GRKPrivacy},
pages = {645--669},
}
[BibTeX] [Abstract] [Download PDF]
User Experience ist von zunehmender Relevanz für die Entwicklung digitaler Designentscheidungen und hat somit weitgehende Auswirkungen auf das Nutzerverhalten. Dass dies besonders für die Sicherheit und Vertraulichkeit nicht nur von Vorteil sein kann, sondern Nutzer*innen negativ beeinflussen kann, wird in dieser Arbeit ersichtlich. Betrachtetwerden dafür die Themengebiete Anti-Patterns, Grey Patterns und Dark-Patterns. Anti-Patterns bezeichnen wiederkehrende Lösungen für ein Konzept eines User Interfaces, die trotz guter Intention ungewünschte Nebeneffekte oder Konsequenzen haben. Dark-Patterns dagegen stellen Designentscheidungen dar, die durch Täuschung oder Ausnutzung psychischen Drucks versuchen Nutzer*innen zu Handlungen zu verleiten, von denen die Ersteller*innen des Dark-Patterns mehr profitieren als die Anwender* innen. Der Begriff Grey Patterns wird in dieser Arbeit für alle Design Patterns genutzt, die sich nicht direkt zuordnen lassen. Da es bisher kaum vergleichendeWerke und keinen Konsens zu diesen Themengebieten gibt, ist das Ziel dieser Arbeit ein grundlegendes Modell aufzustellen. Dabei wird durch die Untersuchung bestehender Literatur eine zusammenfassende Taxonomie und ein Vorgehen zur Unterscheidung von Anti-Patterns und Dark-Patterns erarbeitet, die als Grundlage für weitere Arbeiten und zur Entwicklung von Gegenmaßnahmen genutzt werden können.
@inproceedings{buhleier_klassifikation_2022,
address = {Darmstadt},
series = {Mensch und {Computer} 2022 - {Workshopband}},
title = {Eine {Klassifikation} sicherheitskritischer {UX}-{Design}-{Patterns}},
url = {https://dl.gi.de/handle/20.500.12116/39087},
doi = {10.18420/muc2022-mci-ws10-275},
abstract = {User Experience ist von zunehmender Relevanz für die Entwicklung digitaler Designentscheidungen und hat somit weitgehende Auswirkungen auf das Nutzerverhalten. Dass dies besonders für die Sicherheit und Vertraulichkeit nicht nur von Vorteil sein kann, sondern Nutzer*innen negativ beeinflussen kann, wird in dieser Arbeit ersichtlich. Betrachtetwerden dafür die Themengebiete Anti-Patterns, Grey Patterns und Dark-Patterns. Anti-Patterns bezeichnen wiederkehrende Lösungen für ein Konzept eines User Interfaces, die trotz guter Intention ungewünschte Nebeneffekte oder Konsequenzen haben. Dark-Patterns dagegen stellen Designentscheidungen dar, die durch Täuschung oder Ausnutzung psychischen Drucks versuchen Nutzer*innen zu Handlungen zu verleiten, von denen die Ersteller*innen des Dark-Patterns mehr profitieren als die Anwender* innen. Der Begriff Grey Patterns wird in dieser Arbeit für alle Design Patterns genutzt, die sich nicht direkt zuordnen lassen. Da es bisher kaum vergleichendeWerke und keinen Konsens zu diesen Themengebieten gibt, ist das Ziel dieser Arbeit ein grundlegendes Modell aufzustellen. Dabei wird durch die Untersuchung bestehender Literatur eine zusammenfassende Taxonomie und ein Vorgehen zur Unterscheidung von Anti-Patterns und Dark-Patterns erarbeitet, die als Grundlage für weitere Arbeiten und zur Entwicklung von Gegenmaßnahmen genutzt werden können.},
language = {de},
booktitle = {Mensch und {Computer} 2022 - {Workshopband}},
publisher = {Gesellschaft für Informatik},
author = {Buhleier, Laura and Linsner, Sebastian and Steinbrink, Enno and Reuter, Christian},
year = {2022},
keywords = {Student, Security, UsableSec, HCI, Projekt-CROSSING, Projekt-GRKPrivacy},
}
[BibTeX] [Abstract] [Download PDF]
Agriculture is subject to high demands regarding resilience as it is an essential component of the food production chain. In the agricultural sector, there is an increasing usage of digital tools that rely on communication and energy infrastructures. Should disruption occur, such strengthened dependencies on other infrastructures increase the probability of ripple effects. Thus, there is a need to analyze the resilience of the agricultural sector with a specific focus on the effects of digitalization. This study works out resilience capacities of the interconnected technologies used in farm systems based on the experiences and opinions of farmers. Information was gathered through focus group interviews with farmers (N = 52) and a survey with participants from the agricultural sector (N = 118). In particular, the focus is put on the digital tools and other information and communication technologies they use. Based on a definition of resilience capacities, we evaluate resilience regarding energy and communication demands in various types of farm systems. Especially important are the resilience aspects of modern systems’ digital communication as well as the poorly developed and nonresilient network infrastructure in rural areas that contrast with the claim for a resilient agriculture. The result is a low robustness capacity, as our analysis concludes with the risk of food production losses.
@article{kuntke_resilience_2022,
title = {Resilience in {Agriculture}: {Communication} and {Energy} {Infrastructure} {Dependencies} of {German} {Farmers}},
volume = {13},
issn = {2192-6395},
url = {https://link.springer.com/article/10.1007/s13753-022-00404-7},
doi = {10.1007/s13753-022-00404-7},
abstract = {Agriculture is subject to high demands regarding resilience as it is an essential component of the food production chain. In the agricultural sector, there is an increasing usage of digital tools that rely on communication and energy infrastructures. Should disruption occur, such strengthened dependencies on other infrastructures increase the probability of ripple effects. Thus, there is a need to analyze the resilience of the agricultural sector with a specific focus on the effects of digitalization. This study works out resilience capacities of the interconnected technologies used in farm systems based on the experiences and opinions of farmers. Information was gathered through focus group interviews with farmers (N = 52) and a survey with participants from the agricultural sector (N = 118). In particular, the focus is put on the digital tools and other information and communication technologies they use. Based on a definition of resilience capacities, we evaluate resilience regarding energy and communication demands in various types of farm systems. Especially important are the resilience aspects of modern systems’ digital communication as well as the poorly developed and nonresilient network infrastructure in rural areas that contrast with the claim for a resilient agriculture. The result is a low robustness capacity, as our analysis concludes with the risk of food production losses.},
number = {2},
journal = {International Journal of Disaster Risk Science (IJDRS)},
author = {Kuntke, Franz and Linsner, Sebastian and Steinbrink, Enno and Franken, Jonas and Reuter, Christian},
month = apr,
year = {2022},
keywords = {Projekt-AgriRegio, Projekt-GeoBox, RSF, Security, A-Paper, Selected, Ranking-ImpactFactor, Projekt-HyServ, Ranking-CORE-B, Projekt-GRKPrivacy},
pages = {214--229},
}
[BibTeX] [Abstract] [Download PDF]
The Internet of Things (IoT) is a major trend that is seen as a great opportunity to improve efficiency in many domains, including agriculture. This technology could transform the sector, improving the management and quality of agricultural operations, for example, crop farming. The most promising data transmission standard for this domain seems to be Long Range Wide Area Network (LoRaWAN), a popular representative of low power wide area network technologies today. LoRaWAN, like any wireless protocol, has properties that can be exploited by attackers, which has been a topic of multiple research papers in recent years. By conducting a systematic literature review, we build a recent list of attacks, as well as collect mitigation options. Taking a look at a concrete use case (IoT in agriculture) allows us to evaluate the practicality of both exploiting the vulnerabilities and implementing the countermeasures. We detected 16 attacks that we grouped into six attack types. Along with the attacks, we collect countermeasures for attack mitigation. Developers can use our findings to minimize the risks when developing applications based on LoRaWAN. These mostly theoretical security recommendations should encourage future works to evaluate the mitigations in practice.
@article{kuntke_lorawan_2022,
title = {{LoRaWAN} {Security} {Issues} and {Mitigation} {Options} by the {Example} of {Agricultural} {IoT} {Scenarios}},
volume = {33},
issn = {2161-3915},
url = {https://www.peasec.de/paper/2022/2022_KuntkeRomanenkoLinsnerSteinbrinkReuter_LoRaWANsecurityAgriculture_ETT.pdf},
doi = {10.1002/ett.4452},
abstract = {The Internet of Things (IoT) is a major trend that is seen as a great opportunity to improve efficiency in many domains, including agriculture. This technology could transform the sector, improving the management and quality of agricultural operations, for example, crop farming. The most promising data transmission standard for this domain seems to be Long Range Wide Area Network (LoRaWAN), a popular representative of low power wide area network technologies today. LoRaWAN, like any wireless protocol, has properties that can be exploited by attackers, which has been a topic of multiple research papers in recent years. By conducting a systematic literature review, we build a recent list of attacks, as well as collect mitigation options. Taking a look at a concrete use case (IoT in agriculture) allows us to evaluate the practicality of both exploiting the vulnerabilities and implementing the countermeasures. We detected 16 attacks that we grouped into six attack types. Along with the attacks, we collect countermeasures for attack mitigation. Developers can use our findings to minimize the risks when developing applications based on LoRaWAN. These mostly theoretical security recommendations should encourage future works to evaluate the mitigations in practice.},
number = {5},
journal = {Transactions on Emerging Telecommunications Technologies (ETT)},
author = {Kuntke, Franz and Romanenko, Vladimir and Linsner, Sebastian and Steinbrink, Enno and Reuter, Christian},
month = may,
year = {2022},
keywords = {Student, Projekt-AgriRegio, Projekt-GeoBox, RSF, Security, A-Paper, Ranking-ImpactFactor, Projekt-HyServ, Projekt-GRKPrivacy},
pages = {e4452},
}
[BibTeX] [Abstract] [Download PDF]
Business collaboration in the era of digital transformation requires the exchange of operational data. Since data are hardly controllable once they have been published or shared with others, it is highly important that users are clearly informed about who has access to which data and how certain settings can prevent the disclosure of sensitive data. However, giving end users more control over their data through increased transparency could also lead to information overload. This is particularly true in the field of agriculture, where tight schedules put pressure on employees of small enterprises. We conduct an empirical prestudy with 52 German farmers to investigate current data sharing scenarios. From these insights, we derive requirements and a concept for data sharing solutions providing data flow transparency for users. To investigate the behavior of users and the effects of transparent UI controls, we evaluate a prototype with 18 persons. Our evaluation shows that farmers demand flexible and secure tools that adjust to their workflows. Also, data should be stored and processed locally, granting farmers data sovereignty. Although the controls require additional effort, the evaluated transparent controls for data disclosure are easy to use and raise user awareness.
@article{linsner_supporting_2022,
title = {Supporting {Users} in {Data} {Disclosure} {Scenarios} in {Agriculture} through {Transparency}},
volume = {41},
url = {http://www.peasec.de/paper/2022/2022_LinsnerSteinbrinkKuntkeFrankenReuter_SupportingDataDisclosureScenariosAgriculture_BIT.pdf},
doi = {10.1080/0144929X.2022.2068070},
abstract = {Business collaboration in the era of digital transformation requires the exchange of operational data. Since data are hardly controllable once they have been published or shared with others, it is highly important that users are clearly informed about who has access to which data and how certain settings can prevent the disclosure of sensitive data. However, giving end users more control over their data through increased transparency could also lead to information overload. This is particularly true in the field of agriculture, where tight schedules put pressure on employees of small enterprises. We conduct an empirical prestudy with 52 German farmers to investigate current data sharing scenarios. From these insights, we derive requirements and a concept for data sharing solutions providing data flow transparency for users. To investigate the behavior of users and the effects of transparent UI controls, we evaluate a prototype with 18 persons. Our evaluation shows that farmers demand flexible and secure tools that adjust to their workflows. Also, data should be stored and processed locally, granting farmers data sovereignty. Although the controls require additional effort, the evaluated transparent controls for data disclosure are easy to use and raise user awareness.},
number = {10},
journal = {Behaviour \& Information Technology (BIT)},
author = {Linsner, Sebastian and Steinbrink, Enno and Kuntke, Franz and Franken, Jonas and Reuter, Christian},
year = {2022},
keywords = {Projekt-AgriRegio, RSF, Security, UsableSec, A-Paper, Ranking-CORE-A, Ranking-ImpactFactor, Projekt-HyServ, Projekt-GRKPrivacy},
pages = {2137--2159},
}
[BibTeX] [Abstract] [Download PDF]
Die Digitalisierung schreitet auch in der Landwirtschaft immer weiter voran. Vermehrt werden in landwirtschaftlichen Betrieben sogenannte Smart Farming-Technologien eingesetzt, mit deren Hilfe verschiedenste Arbeitsabläufe automatisiert ablaufen, kontrolliert werden und mit anderen Betrieben ausgetauscht werden können. Durch die verfügbaren Daten und die Vernetzung mit anderen Betrieben, ergeben sich vielfältige neue Möglichkeiten in Bezug auf ressourcenschonendes, wirtschaftlicheres und kollaboratives Arbeiten. Problematiken ergeben sich mit Blick auf die Speicherung dieser sensiblen Betriebsdaten, vor allem, wenn hierfür nur einige wenige Anbieter zur Verfügung stehen. Das Forschungsprojekt „AgriRegio“ soll die digitalisierte Datenerfassung und -nutzung in landwirtschaftlichen Betrieben widerstandsfähiger machen und die sicherheitskritische Infrastruktur schützen. Sieben Projektpartner erproben dazu smarte Sensoren auf Basis standardisierter Open-Source-Technologien in der Landwirtschaft, bei denen die Betriebsdaten dezentral auf lokalen Servern gespeichert werden.
@inproceedings{reuter_agriregio_2022,
address = {Hamburg, Germany},
title = {{AgriRegio}: {Infrastruktur} zur {Förderung} von digitaler {Resilienz} und {Klimaresilienz} im ländlichen {Raum} am {Beispiel} der {Pilotregion} {Nahe}-{Donnersberg}},
isbn = {978-3-88579-720-3},
url = {https://dl.gi.de/bitstream/handle/20.500.12116/39588/rsflab_04.pdf?sequence=1&isAllowed=y},
doi = {10.18420/inf2022_81},
abstract = {Die Digitalisierung schreitet auch in der Landwirtschaft immer weiter voran. Vermehrt werden in landwirtschaftlichen Betrieben sogenannte Smart Farming-Technologien eingesetzt, mit deren Hilfe verschiedenste Arbeitsabläufe automatisiert ablaufen, kontrolliert werden und mit anderen Betrieben ausgetauscht werden können. Durch die verfügbaren Daten und die Vernetzung mit anderen Betrieben, ergeben sich vielfältige neue Möglichkeiten in Bezug auf ressourcenschonendes, wirtschaftlicheres und kollaboratives Arbeiten. Problematiken ergeben sich mit Blick auf die Speicherung dieser sensiblen Betriebsdaten, vor allem, wenn hierfür nur einige wenige Anbieter zur Verfügung stehen. Das Forschungsprojekt „AgriRegio“ soll die digitalisierte Datenerfassung und -nutzung in landwirtschaftlichen Betrieben widerstandsfähiger machen und die sicherheitskritische Infrastruktur schützen. Sieben Projektpartner erproben dazu smarte Sensoren auf Basis standardisierter Open-Source-Technologien in der Landwirtschaft, bei denen die Betriebsdaten dezentral auf lokalen Servern gespeichert werden.},
language = {de},
booktitle = {{INFORMATIK} 2022: 52. {Jahrestagung} der {Gesellschaft} für {Informatik} – {Informatik} für {Gesellschaft} ({Workshop}-{Beiträge}), {Lecture} {Notes} in {Informatics} ({LNI})},
publisher = {Gesellschaft für Informatik e. V.},
author = {Reuter, Christian and Kuntke, Franz and Trapp, Matthias and Wied, Christian and Brill, Gerwin and Müller, Georg and Steinbrink, Enno and Franken, Jonas and Eberz-Eder, Daniel and Schneider, Wolfgang},
editor = {Demmler, D. and Krupka, D. and Federrath, H.},
year = {2022},
keywords = {Projekt-AgriRegio, RSF, Security, UsableSec, Ranking-CORE-C, Ranking-VHB-C},
pages = {961--972},
}
2021
[BibTeX] [Abstract] [Download PDF]
Technological progress can disrupt domains and change the way we work and collaborate. This paper presents a qualitative study with 52 German farmers that investigates the impact of the ongoing digitalization process in agriculture and discusses the implications for privacy research. As in other domains, the introduction of digital tools and services leads to the data itself becoming a resource. Sharing this data with products along the supply chain is favored by retailers and consumers, who benefit from traceability through transparency. However, transparency can pose a privacy risk. Having insight into the business data of others along the supply chain provides an advantage in terms of market position. This is particularly true in agriculture, where there is already a significant imbalance of power between actors. A multitude of small and medium-sized farming businesses are opposed by large upstream and downstream players that drive technological innovation. Further weakening the market position of farmers could lead to severe consequences for the entire sector. We found that on the one hand, privacy behaviors are affected by adoption of digitalization, and on the other hand, privacy itself influences adoption of digital tools. Our study sheds light on the emerging challenges for farmers and the role of privacy in the process of digitalization in agriculture.
@article{linsner_role_2021,
title = {The {Role} of {Privacy} in {Digitalization} – {Analysing} the {German} {Farmers}' {Perspective}},
volume = {2021},
url = {https://www.petsymposium.org/2021/files/papers/issue3/popets-2021-0050.pdf},
doi = {10.2478/popets-2021-0050},
abstract = {Technological progress can disrupt domains
and change the way we work and collaborate. This paper presents a qualitative study with 52 German farmers
that investigates the impact of the ongoing digitalization process in agriculture and discusses the implications for privacy research. As in other domains, the introduction of digital tools and services leads to the data
itself becoming a resource. Sharing this data with products along the supply chain is favored by retailers and
consumers, who benefit from traceability through transparency. However, transparency can pose a privacy risk.
Having insight into the business data of others along the
supply chain provides an advantage in terms of market
position. This is particularly true in agriculture, where
there is already a significant imbalance of power between actors. A multitude of small and medium-sized
farming businesses are opposed by large upstream and
downstream players that drive technological innovation.
Further weakening the market position of farmers could
lead to severe consequences for the entire sector. We
found that on the one hand, privacy behaviors are affected by adoption of digitalization, and on the other
hand, privacy itself influences adoption of digital tools.
Our study sheds light on the emerging challenges for
farmers and the role of privacy in the process of digitalization in agriculture.},
number = {3},
journal = {Proceedings on Privacy Enhancing Technologies (PoPETs)},
author = {Linsner, Sebastian and Kuntke, Franz and Steinbrink, Enno and Franken, Jonas and Reuter, Christian},
year = {2021},
keywords = {Projekt-GeoBox, Security, UsableSec, HCI, A-Paper, AuswahlUsableSec, Selected, Ranking-CORE-A, Ranking-ImpactFactor, Projekt-HyServ, Projekt-GRKPrivacy},
pages = {334--350},
}
[BibTeX] [Abstract] [Download PDF]
Since 2015, an increased number of asylum seekers is coming to Europe. These migration movements increasingly rely on digital infrastructure, such as mobile internet access and online services, in order to reach their targeted destination countries. Asylum seekers often use smartphones for information and communication purposes. Even though there are many positive aspects in the use of such technologies, researchers have to consider the perceived risks of this specific user group. This work aims at investigating the use of mobile information technologies by asylum seekers during their flight, especially taking privacy into account. Thus, it examines asylum seekers’ digital privacy perceptions and identifies privacy protection behaviors by conducting a qualitative interview study with 14 asylum seekers who applied for asylum in Germany. The results show that asylum seekers are often aware of the various risks deriving from the use of smartphones and ICT, such as surveillance and persecution by state or non-state actors as well as extortion by criminals. Based on this, this work furthermore outlines different strategies used to manage these risks. Since the lack of privacy and trust leads to avoidance behavior, the insights of this study provide valuable information for the design of assistance apps and collaboration platforms, which appropriately address the specific needs for digital privacy in the context of flight, or for the conception of privacy-enhancing technologies helping to achieve this.
@article{steinbrink_digital_2021,
title = {Digital {Privacy} {Perceptions} of {Asylum} {Seekers} in {Germany} - {An} {Empirical} {Study} about {Smartphone} {Usage} during the {Flight}},
volume = {5},
url = {https://www.peasec.de/paper/2021/2021_SteinbrinkReichertMendeReuter_DigitalPrivacyPerceptionAsylumSeekers_CSCW.pdf},
doi = {10.1145/3479526},
abstract = {Since 2015, an increased number of asylum seekers is coming to Europe. These migration movements increasingly rely on digital infrastructure, such as mobile internet access and online services, in order to reach their targeted destination countries. Asylum seekers often use smartphones for information and communication purposes. Even though there are many positive aspects in the use of such technologies, researchers have to consider the perceived risks of this specific user group. This work aims at investigating the use of mobile information technologies by asylum seekers during their flight, especially taking privacy into account. Thus, it examines asylum seekers’ digital privacy perceptions and identifies privacy protection behaviors by conducting a qualitative interview study with 14 asylum seekers who applied for asylum in Germany. The results show that asylum seekers are often aware of the various risks deriving from the use of smartphones and ICT, such as surveillance and persecution by state or non-state actors as well as extortion by criminals. Based on this, this work furthermore outlines different strategies used to manage these risks. Since the lack of privacy and trust leads to avoidance behavior, the insights of this study provide valuable information for the design of assistance apps and collaboration platforms, which appropriately address the specific needs for digital privacy in the context of flight, or for the conception of privacy-enhancing technologies helping to achieve this.},
number = {CSCW2},
journal = {Proceedings of the ACM: Human Computer Interaction (PACM): Computer-Supported Cooperative Work and Social Computing},
author = {Steinbrink, Enno and Reichert, Lilian and Mende, Michelle and Reuter, Christian},
year = {2021},
keywords = {Student, Security, UsableSec, Projekt-ATHENE-FANCY, A-Paper, AuswahlUsableSec, Ranking-CORE-A, Ranking-ImpactFactor, Projekt-GRKPrivacy},
}