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Auflistung nach Autor:in "Ruff, Christopher"

1 - 6 von 6
  • Konferenzbeitrag
    Adversary Tactics and Techniques specific to Cryptocurrency Scams
    (Open Identity Summit 2022, 2022) Horch, Andrea; Schunck, Christian H.; Ruff, Christopher
    At the end of the year 2020, there was a steep uptrend of the cryptocurrency market. The global market capitalization of cryptocurrencies climbed from 350 billion US$ in October 2020 to almost 2.5 trillion US$ in May 2021 and reached 3 trillion US$ in November 2021. Currently, there are more than 17,600 cryptocurrencies listed on CoinMarketCap. The ample amount of money within the market attracts investors as well as scammers and hackers. Recent incidents like the BadgerDAO hack have shown how easy it is to steal cryptocurrencies. While all the standard scamming and hacking techniques such as identity theft, social engineering and web application hacking are successfully employed by attackers, new scams very specific to cryptocurrencies emerged, which are the focus of this paper.
  • Konferenzbeitrag
    Analysing user’s privacy preferences in smart-home environments with situational contexts
    (Open Identity Summit 2023, 2023) Ruff, Christopher; Benthien, Benedict; Orlowski, Alexander
    Due to the increasing adoption of smart home devices and technologies, implications for privacy gain importance. In this paper, correlations between specific characteristics of people and their preferences regarding the activity status of components in smart home devices are investigated. In addition, said preferences are analysed for inherent patterns to assist people in their decisions by suggesting preferences, which often occur together. A special focus of this work is the differentiation of preferences according to situational contexts. An online survey was conducted, and the results were analysed. The results imply strong correlations within the preferences and differences in preferences across different contexts.
  • Konferenzbeitrag
    DAMA – A transparent meta-assistant for data self-determination in smart environments
    (Open Identity Summit 2021, 2021) Ruff, Christopher; Horch, Andrea; Benthien, Benedict; Loh, Wulf; Orlowski, Alexander
    Global sales of AI-based smart voice assistants and other smart devices are increasing every year. Smart devices are becoming ubiquitous, including living and workspaces. These spaces often have very high privacy requirements, like living rooms, bedrooms or meeting rooms in office environments. Users of smart devices have security and privacy concerns regarding personal data collection, data storage and the use of such data by the devices and the providers. These concerns are aggravated by a lack of transparency by the device manufacturers. As a result, users have limited possibilities to make an informed decision due to missing information or interfaces. While this leads to limited trust regarding the security and privacy of smart devices, for most users, the practical benefit dominates. The project DAMA wants to address user’s security and privacy concerns by creating transparency and regulating the smart devices in connection with the respective context (e.g. when users are alone at home or when they have visitors). For this purpose, the project is developing a “meta-assistant”, an assistant that regulates other AI-based assistants and other smart devices. It uses artificial intelligence (AI) for context detection and device regulation. The regulation processes are based on established ethical guidelines, which are adjusted to the project context.
  • Konferenzbeitrag
    A Human Digital Twin as Building Block of Open Identity Management for the Internet of Things
    (Open Identity Summit 2020, 2020) Zibuschka, Jan; Ruff, Christopher; Horch, Andrea; Roßnagel, Heiko
    In networked industry, digital twins aggregate product data along the entire life cycle, from design and production to deployment. This enables interoperability between different data sources and analysis functions and creates an integrated data environment. Human digital twins have the potential to create a similarly interoperable and integrated data environment for more user-centric use cases in the field of the Internet of Things. In this case, personal data is processed and transmitted; therefore, the underlying infrastructure is then not product data management but identity management. In this paper, we discuss general aspects of the human digital twin, its role in open identity management systems, and illustrate its application in the field of home, building and office automation. We identify advantages and limitations and suggest future research opportunities.
  • Konferenzbeitrag
    Open Identity Summit 2023 - Complete proceedings
    (Open Identity Summit 2023, 2023) Chadwick, David W.; Kubach, Michael; Sette, Ioram; Johnson Jeyakumar, Isaac Henderson; Bochnia, Ricardo; Richter, Daniel; Anke, Jürgen; Sellung, Rachelle; Kubach, Michael; Otto, Sarah; Meisel, Michael; Fernet, Laouen; Mödersheim, Sebastian; Krauß, Anna-Magdalena; Kostic, Sandra; Sellung, Rachelle A.; Pöhn, Daniela; Grabatin, Michael; Hommel, Wolfgang; Kubach, Michael; Henderson, Isaac; Bithin, Alangot; Dimitrakos, Theo; Vargas, Juan; Winterstetter, Matthias; Krontiris, Ioannis; Schwalm, Steffen; Fuxen, Philipp; Hackenberg, Rudolf; Heinl, Michael P.; Ross, Mirko; Roßnagel, Heiko; Schunck, Christian H.; Yahalom, Raphael; Ruff, Christopher; Benthien, Benedict; Orlowski, Alexander; Astfalk, Stefanie; Schunck, Christian H.; Fritsch, Lothar; Fähnrich, Nicolas; Köster, Kevin; Renkel, Patrick; Huber, Richard; Menz, Nadja
  • Konferenzbeitrag
    Saving energy in production using mobile services
    (Software Engineering 2013 - Workshopband, 2013) Ruff, Christopher; Laufs, Uwe; Müller, Moritz; Zibuschka, Jan
    High energy costs have led to an increasing relevance of energyefficiency over the last few years. While new equipment is mostly designed to be energy-efficient, feasible action is needed to decrease energy consumption of existing equipment on the shop-floor level. As interventions there rely on dependable information and its use at the right time and place, involvement of ICT systems and particularly mobile devices becomes evident. In our approach, a system based on a SOA back end and a mobile device-based front end was implemented as a prototype. The system uses data provided by sensors, production orders and additional metadata describing specific properties of the production systems to provide decision support and to generate recommendations for the stakeholders to realize immediate as well as longer-term energy savings.