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Robust and Homomorphic Covert Channels in Streams of Numeric Data

Proceedings of the 19th International Conference on Availability, Reliability and Security. New York: ACM 2024 S. 1 - 10

Erscheinungsjahr: 2024

Publikationstyp: Buchbeitrag (Konferenzbeitrag)

Sprache: Englisch

Doi/URN: 10.1145/3664476.3670879

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Inhaltszusammenfassung


A steganographic network storage channel that uses a carrier with a stream of numeric data must consider the possibility that the carrier data is processed before the covert receiver can extract the secret data. A sensor data stream, which we take as an example scenario, may be scaled by multiplication, shifted into a different range by addition, or two streams might be merged by adding their values. This raises the question if the storage channel can be made robust against such carrier modif...A steganographic network storage channel that uses a carrier with a stream of numeric data must consider the possibility that the carrier data is processed before the covert receiver can extract the secret data. A sensor data stream, which we take as an example scenario, may be scaled by multiplication, shifted into a different range by addition, or two streams might be merged by adding their values. This raises the question if the storage channel can be made robust against such carrier modifications. On the other hand, if the pieces of secret data are numeric as well, adding and merging two streams each comprising covert data might be exploited to form a homomorphic covert channel. We investigate both problems as they are related and give positive and negative results. In particular, we present the first homomorphic storage covert channel. Moreover, we show that such type of covert channel is not restricted to sensor data streams, but that very different scenarios are possible.» weiterlesen» einklappen

Autoren


Keller, Jörg (Autor)
Heßeling, Carina (Autor)

Klassifikation


DFG Fachgebiet:
Informatik

DDC Sachgruppe:
Informatik

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