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Auflistung nach Autor:in "Aschenbruck, Nils"

1 - 3 von 3
  • Konferenzbeitrag
    CryptoCAN – Ensuring Confidentiality in Controller Area Networks for Agriculture
    (SICHERHEIT 2020, 2020) Zimmermann, Till; Bauer, Jan; Aschenbruck, Nils
    The Controller Area Network (CAN) bus is widely used in existing machinery. Facing more and more vertical integration with more complex devices and integration into public communication networks, its nature as a broadcast-only system without security measures poses serious risks to confidentiality of transmitted data. In this paper, we propose a Lightweight, Length Preserving and Robust Confidentiality Solution (LLPR-CS) to retrofit encryption in existing systems, while maintaining full interoperability with these systems. The overhead of our approach is negligible. Therefore, it can be used with existing hardware. By reinterpreting unused bits in the CAN frame format of the ISO 11898 standard, it is possible to build a fully transparent encrypted tunnel in non-confidential network parts, while keeping the ability to decrypt all traffic in an out-of-band-system without knowledge of specific cryptographic state details. By conducting a performance evaluation, we highlight the benefits of LLPR-CS and discuss its advantages compared to existing approaches.
  • Konferenzbeitrag
    Geocast routing - Performance of LBM and GeoGrid
    (Informatik 2005 – Informatik Live! Band 2, 2005) Aschenbruck, Nils; Lettgen, Sascha
    Geocast is a special kind of Multicast in which a member of the Multicast group is defined by its position in a so-called Geocast-Region. In this paper we will figure out, how to select parameters for two selected Geocast routing protocols. In the end, we will evaluate the performance of the two protocols and compare the results.
  • Konferenzbeitrag
    Position tracking in urban environments using linear constraints and bias pseudo measurements
    (INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 2, 2010) Niewiejska, Julia; Govaers, Felix; Aschenbruck, Nils
    In many GPS-Sensor based tracking applications, the obtained measurements suffer from time a correlated bias. This is due to shadowing and multipath scattering of the wireless GPS signals. In this paper, we applicate a Schmidt-Kalman Filter (SKF) in order to improve the tracking process of ground vehicles on roads. We investigate possibilities to integrate bias measurements obtained from road information into the position tracking filter. To this end, we assume a digital map is given which contains road information for the observed region. The estimated position by the sensor data is projected onto the road as a hard constraint. This enables us to detect and to eliminate regular sensor bias by extending the estimate state of the target by an estimate of the sensor bias.