Securing the Physical Layer of IEEE 802.15.4 Through Cooperative Jamming

Citation Author(s):
Karel
Pärlin
Tampere University
Taneli
Riihonen
Tampere University
Matias
Turunen
Tampere University
Vincent
Le Nir
Royal Military Academy
Marc
Adrat
Fraunhofer Institute for Communication, Information Processing and Ergonomics
Submitted by:
Karel Parlin
Last updated:
Wed, 06/14/2023 - 03:26
DOI:
10.21227/9mty-pf96
License:
0
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Abstract 

 

Physical layer security is a sought-after concept to complement the established upper layer security techniques in wireless communications. An appealing approach to achieve physical layer security is to use cooperative jamming with interference that is known to and suppressible by the legitimate receiver but unknown to, and hence not suppressible by, the eavesdropper. Suppressing known interference, however, is challenging due to the numerous unknowns, including carrier and sampling frequency offsets, that impact its reception. This dataset presents a measurement campaign that captures this challenge in the context of Internet-of-Things applications. The dataset consists of baseband signals recorded with a software-defined radio that acts as an IEEE 802.15.4 receiver, receiving simultaneously the signal-of-interest and known interference. This allows to study the performance of known-interference cancellation algorithms and the impact of known-interference cancellation on IEEE 802.15.4 signal processing. This dataset is accompanied by a publication [1] that carries out that performance analysis and uses the frequency offsets least mean squares (FO-LMS) algorithm [2] for cancelling the known interference.

[1] K. Pärlin, T. Riihonen, M. Turunen, V. L. Nir and M. Adrat, "Known-Interference Cancellation in Cooperative Jamming: Experimental Evaluation and Benchmark Algorithm Performance," in IEEE Wireless Communications Letters, doi: 10.1109/LWC.2023.3284006.

[2] K. Pärlin, T. Riihonen, V. Le Nir and M. Adrat, "Estimating and Tracking Wireless Channels Under Carrier and Sampling Frequency Offsets," in IEEE Transactions on Signal Processing, vol. 71, pp. 1053-1066, 2023, doi: 10.1109/TSP.2023.3259140.

Instructions: 

Please see the readme file for information about this dataset.

Data Descriptor Article DOI: 

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Submitted by Ruchi Mohan Talari on Sun, 07/30/2023 - 15:23

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