Schulz, Matthias ; Link, Jakob ; Gringoli, Francesco ; Hollick, Matthias (2018)
Shadow Wi-Fi: Teaching Smartphones to Transmit Raw Signals and to Extract Channel State Information to Implement Practical Covert Channels over Wi-Fi.
Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services.
doi: 10.1145/3210240.3210333
Conference or Workshop Item, Bibliographie
Abstract
Wi-Fi chips offer vast capabilities, which are not accessible through the manufacturers' official firmwares. Unleashing those capabilities can enable innovative applications on off-the-shelf devices. In this work, we demonstrate how to transmit raw IQ samples from a large buffer on Wi-Fi chips. We further show how to extract channel state information (CSI) on a per frame basis. As a proof-of-concept application, we build a covert channel on top of Wi-Fi to stealthily exchange information between two devices by prefiltering Wi-Fi frames prior to transmission. On the receiver side, the CSI is used to extract the embedded information. By means of experimentation, we show that regular Wi-Fi clients can still demodulate the underlying Wi-Fi frames. Our results show that covert channels on the physical layer are practical and run on off-the-shelf smartphones. By making available our raw signal transmitter, the CSI extractor, and the covert channel application to the research community, we ensure reproducibility and offer a platform for further innovative applications on Wi-Fi devices.
Item Type: | Conference or Workshop Item |
---|---|
Erschienen: | 2018 |
Creators: | Schulz, Matthias ; Link, Jakob ; Gringoli, Francesco ; Hollick, Matthias |
Type of entry: | Bibliographie |
Title: | Shadow Wi-Fi: Teaching Smartphones to Transmit Raw Signals and to Extract Channel State Information to Implement Practical Covert Channels over Wi-Fi |
Language: | English |
Date: | June 2018 |
Place of Publication: | Munich Germany |
Publisher: | Association for Computing Machinery |
Series: | MobiSys ’18 |
Event Title: | Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services |
DOI: | 10.1145/3210240.3210333 |
URL / URN: | https://doi.org/10.1145/3210240.3210333 |
Abstract: | Wi-Fi chips offer vast capabilities, which are not accessible through the manufacturers' official firmwares. Unleashing those capabilities can enable innovative applications on off-the-shelf devices. In this work, we demonstrate how to transmit raw IQ samples from a large buffer on Wi-Fi chips. We further show how to extract channel state information (CSI) on a per frame basis. As a proof-of-concept application, we build a covert channel on top of Wi-Fi to stealthily exchange information between two devices by prefiltering Wi-Fi frames prior to transmission. On the receiver side, the CSI is used to extract the embedded information. By means of experimentation, we show that regular Wi-Fi clients can still demodulate the underlying Wi-Fi frames. Our results show that covert channels on the physical layer are practical and run on off-the-shelf smartphones. By making available our raw signal transmitter, the CSI extractor, and the covert channel application to the research community, we ensure reproducibility and offer a platform for further innovative applications on Wi-Fi devices. |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Sichere Mobile Netze DFG-Collaborative Research Centres (incl. Transregio) DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A3: Migration |
Date Deposited: | 22 Apr 2020 08:12 |
Last Modified: | 02 Jul 2021 12:51 |
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