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Auflistung nach Autor:in "Meyer, Ulrike"

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  • Textdokument
    Beyond Lockdown: Towards Reliable e-Assessment
    (Bildungsräume 2017, 2017) Küppers, Bastian; Kerber, Florian; Meyer, Ulrike; Schroeder, Ulrik
    In modern university education, lectures and accompanying exercises and tutorials incorporate digital elements to keep up with a general trend of digitalization. These digital elements spread from incorporating online learning management systems into the lectures to the usage of computers and tablets in exercises and tutorials. Despite e-Assessment being a valuable component in form of self-tests and formative assessment, the trend of digitalization has not yet been transferred on examinations. Retaining examinations on paper is often caused by reservations against e-Assessment, but also financial reasons interfere with the establishment of e-Assessment, because maintaining a suitable IT-infrastructure for e-Assessment is expensive in terms of money as well as administrative effort. Bring Your Own Device is a potential solution to this issue, but also poses new challenges regarding the integrity and reliability of examinations, hence potentially boosting the existing reservations. A common approach for securing e-Assessment is the usage of a so-called lockdown software on the students’ devices, which is intended to ensure that students cannot execute impermissible actions during the examination. This paper exposes the disadvantages of current lockdown approaches in the Bring Your Own Device setting and outlines a novel alternative to securing e-Assessments. It thus contributes to reducing reservations against e-Assessment.
  • Konferenzbeitrag
    SMC-MuSe: A framework for Secure Multi-Party Computation on MultiSets
    (INFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt, 2013) Neugebauer, Georg; Meyer, Ulrike; Wetzel, Susanne
    Secure Multi-Party Computation (SMC) offers a theoretically well-founded means to allow applications that preserve their users' privacy. We introduce SMC-MuSe, a framework for Secure Multi-Party Computation on MultiSets, which enables the privacy-preserving computation of set operations on multisets. SMC-MuSe is targeted to provide for the efficient implementation of specific interesting functions rather than on computing arbitrary ones. It is generic in the sense that it allows to compute any composition of privacy-preserving set intersections, unions, and reductions on multisets. The system model used in SMC-MuSe is kept close to the one assumed in theory and supports asynchronous communications, resilient SMC computations, and fully-automated key management.