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Auflistung nach Schlagwort "data sharing"

1 - 5 von 5
  • Konferenzbeitrag
    A new Attack Composition for Network Security
    (10. DFN-Forum Kommunikationstechnologien, 2017) Beer, Frank; Hofer, Tim; Karimi, David; Bühler, Ulrich
    As the current cyber threat landscape is becorning more depressing, sophisticated intru­sion detection systems must evolve to protect network infrastructures efficiently. Building such a detector is highly data-driven and requires quality datasets to evaluate different phases in both the development and deployment process. However, finding publicly available captures with a ground truth is challenging. Most existing datasets focus on very specific subjects such as botnet, flooding, or brute-force traffic rather than providing a broad arsenal of different attack vectors threatening today's networks. This work addresses this gap by introducing a new attack composition compris­ing a multitude of classic as well as state-of-the-art attacks. The dataset embrace rich and untreated packet traces including payload, collected log events, and a detailed ground truth. lntitial results re­veal the proposed captures complement existing traces and provide a sound base for various rnining applications in the field of network security research.
  • Konferenzbeitrag
    Data sovereignty needs in agricultural use cases
    (43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 2023) Boye, Frederik; Matar, Raghad; Neuschwander, Philipp
    With today's shift towards digital farming, data transfer and processing are becoming increasingly essential for optimizing farm operations. In the complex arable farming sector, there exist numerous use cases involving a variety of actors and processes. Designing new digital ecosystems, such as agricultural data spaces that support existing workflows while enabling new opportunities for data-driven services, requires a good understanding of existing processes and data sovereignty needs. In this paper, we categorize data exchange use cases in arable farming and analyze the respective data sovereignty needs for each category. The results of our contribution can be used as a basis for further analysis and evaluation of data-sharing approaches in terms of their suitability for meeting different data sovereignty needs in agriculture, as well as in the process of requirements analysis when designing such systems.
  • Konferenzbeitrag
    Farmers’ attitudes towards data security in agriculture when using digital technologies
    (43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 2023) Gabriel, Andreas
    This article explores the question of which farmers are aware and also trust the current data protection guidelines for the sharing of agricultural data when using digital technologies. A decision tree analysis was used to identify the characteristics of group segments that differ in their attitudes (awareness, confidence) towards current data protection guidelines. Although a large proportion of respondents said they were aware of the current data protection guidelines, most farmers are skeptical and do not trust their effectiveness. Three segments were identified that are more open to monetary or information-based compensations in return for sharing their farm data with third parties.
  • Konferenzbeitrag
    Who Should Get My Private Data in Which Case? Evidence in the Wild
    (Mensch und Computer 2021 - Tagungsband, 2021) Herbert, Franziska; Schmidbauer-Wolf, Gina Maria; Reuter, Christian
    As a result of the ongoing digitalization of our everyday lives, the amount of data produced by everyone is steadily increasing. This happens through personal decisions and items, such as the use of social media or smartphones, but also through more and more data acquisition in public spaces, such as e.g., Closed Circuit Television. Are people aware of the data they are sharing? What kind of data do people want to share with whom? Are people aware if they have Wi-Fi, GPS, or Bluetooth activated as potential data sharing functionalities on their phone? To answer these questions, we conducted a representative online survey as well as face-to-face interviews with users in Germany.We found that most users wanted to share private data on premise with most entities, indicating that willingness to share data depends on who has access to the data. Almost half of the participants would be more willing to share data with specific entities (state bodies & rescue forces) in the event that an acquaintance is endangered. For Wi-Fi and GPS the frequencies of self-reported and actual activation on the smartphone are almost equal, but 17% of participants were unaware of the Bluetooth status on their smartphone. Our research is therefore in line with other studies suggesting relatively low privacy awareness of users.
  • Workshopbeitrag
    Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data
    (Mensch und Computer 2023 - Workshopband, 2023) Flaucher, Madeleine; Zakreuskaya, Anastasiya; Jaeger, Katharina; Richer, Robert; Smeddinck, Jan David; Kumar, Devender; Grimme, Sophie; Klein, Julia; Hrynyschyn, Robert; Eskofier, Bjoern; Leutheuser, Heike
    The collection and use of personal data is increasing and new developments in Big Data Analytics allow for innovative applications. Recent developments in healthcare such as the proposal of the European Health Data Space point towards a more data-driven future of diagnostics and therapy. These developments lead to new challenges, especially in how to design interaction between individuals and their personal health data. With this proposed workshop we want to stimulate discussion about these challenges from the interaction perspective and critically ask, where our health data should lie in the future and who will be owning it.