Classification of PC Baseband Signals from Wireless Egress
Konferenz: WSA & SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding
27.02.2023–03.03.2023 in Braunschweig, Germany
Tagungsband: ITG-Fb. 308: WSA & SCC 2023
Seiten: 6Sprache: EnglischTyp: PDF
Autoren:
Leghari, Mohammad Ahmed; Pralle, Sina Mei; Henkel, Werner (Computer Science and Engineering, Jacobs University Bremen, Germany)
Peik, Soeren F. (Electrical Engineering and Computer Science, Bremen University of Applied Sciences, Bremen, Germany)
Luetje, Sebastian (Development and Tempest, Aerospace Data Security GmbH, Bremen, Germany)
Inhalt:
Being related to so-called TEMPEST activities, we show some possibilities to classify standard signal emissions from a PC environment, such as Ethernet, USB, or HDMI. Hereto, we make use of time-frequency analysis followed by deep learning or alternatively, by looking into individual signal properties, such as symbol rates, special fixed patterns, common-mode presence, or amplitude histograms. We will see that the distinction of such standard signals can be very efficient, even in the case of 100Base-T and 1000Base-T Ethernet that are designed to use the same frequency range and hence have a very similarly looking time-frequency representation. Under noise-free conditions, 100 % correct classification is achieved.