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Auflistung nach Schlagwort "profiling"

1 - 3 von 3
  • Konferenzbeitrag
    Emerging biometric modalities and their use: Loopholes in the terminology of the GDPR and resulting privacy risks
    (BIOSIG 2021 - Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021) Bisztray, Tamás; Gruschka, Nils; Bourlai, Thirimachos; Fritsch, Lothar
    Technological advancements allow biometric applications to be more omnipresent than in any other time before. This paper argues that in the current EU data protection regulation, classification applications using biometric data receive less protection compared to biometric recognition. We analyse preconditions in the regulatory language and explore how this has the potential to be the source of unique privacy risks for processing operations classifying individuals based on soft traits like emotions. This can have high impact on personal freedoms and human rights and, therefore, should be subject to data protection impact assessment.
  • Konferenzbeitrag
    Extraction and Accumulation of Identity Attributes from the Internet of Things
    (Open Identity Summit 2021, 2021) Fritsch, Lothar; Gruschka, Nils
    Internet of Things (IoT) devices with wireless communication provide person-relateable information usable as attributes in digital identities. By scanning and profiling these signals against location and time, identity attributes can be generated and accumulated. This article introduces the concept of harvesting identifiable information from IoT. It summarizes ongoing work that aims at assessing the amount of person-relatable attributes that can get extracted from public IoT signals. We present our experimental data collection in Oslo/Norway and discuss systematic harvesting, our preliminary results, and their implications.
  • Textdokument
    Remote AVX Overhead: Detection and Mitigation
    (Tagungsband des FG-BS Frühjahrstreffens 2021, 2021) Gottschlag, Mathias
    Due to power constraints, recent Intel CPUs reduce their frequency when executing AVX2 and AVX-512 instructions. Often, this frequency reduction affects other applications as well, which reduces overall performance and prevents contemporary operating systems from fairly distributing system resources. In our work, we show that these problems are fundamental problems of power-limited computing. We analyze the problems and show a method to quantify the underlying AVX overhead. Based on our analysis, we then describe a set of operating system techniques to improve performance and scheduler fairness. Our results show the importance of active management of hardware-controlled frequency scaling by the OS. Based on this observation, we sketch improved hardware-software interfaces which could further reduce AVX overhead and improve the efficacy of our approach.