A Dataset of physical-layer measurements in indoor wireless jamming scenarios

<p dir="ltr">The broadcast nature of wireless communications makes them vulnerable to denial-of-service attacks. Indeed, an adversary can prevent the reception of wireless messages by transmitting signals with high power over the same frequency of the considered channel. This paper p...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Saeif Alhazbi (17058108) (author)
مؤلفون آخرون: Savio Sciancalepore (16864152) (author), Gabriele Oligeri (14151426) (author)
منشور في: 2023
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author Saeif Alhazbi (17058108)
author2 Savio Sciancalepore (16864152)
Gabriele Oligeri (14151426)
author2_role author
author
author_facet Saeif Alhazbi (17058108)
Savio Sciancalepore (16864152)
Gabriele Oligeri (14151426)
author_role author
dc.creator.none.fl_str_mv Saeif Alhazbi (17058108)
Savio Sciancalepore (16864152)
Gabriele Oligeri (14151426)
dc.date.none.fl_str_mv 2023-02-01T06:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.dib.2022.108773
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/A_Dataset_of_physical-layer_measurements_in_indoor_wireless_jamming_scenarios/24501145
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Information and computing sciences
Data management and data science
Distributed computing and systems software
Software defined radios
IQ samples
BPSK
USRP X310
dc.title.none.fl_str_mv A Dataset of physical-layer measurements in indoor wireless jamming scenarios
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">The broadcast nature of wireless communications makes them vulnerable to denial-of-service attacks. Indeed, an adversary can prevent the reception of wireless messages by transmitting signals with high power over the same frequency of the considered channel. This paper presents an experimental dataset of real-world indoor communication scenarios affected by different jamming techniques. Specifically, our dataset includes data acquired from 7 different Software Defined Radios (SDRs), i.e., the USRP Ettus Research X310, operating in an office environment. Each experiment is characterized by a transmitter, a receiver, and a jammer. While the hardware of the transmitter and the receiver are kept the same for all the experiments, the hardware of the jammer is changed adopting 5 different radios of the same brand. The dataset includes different jamming behaviors, based on the type of signal injected by the jammer: no jamming (silent), tone (sinusoidal), and Gaussian noise. Moreover, besides having multiple jamming devices and modes, the dataset also includes different transmission distances and jamming powers. In each experiment, a pre-determined sequence of bits has been modulated using the BPSK scheme, transmitted wirelessly under different jamming conditions, and then stored, at the receiver, as a 2-columns matrix of I/Q samples. Researchers can use this dataset in several ways, including: (i) developing active and reactive techniques for jamming detection, (ii) jamming identification at the physical layer, and finally, (iii) developing mitigation techniques supported by real data.</p><h2>Other Information</h2><p dir="ltr">Published in: Data in Brief<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.dib.2022.108773" target="_blank">https://dx.doi.org/10.1016/j.dib.2022.108773</a></p>
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identifier_str_mv 10.1016/j.dib.2022.108773
network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/24501145
publishDate 2023
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spelling A Dataset of physical-layer measurements in indoor wireless jamming scenariosSaeif Alhazbi (17058108)Savio Sciancalepore (16864152)Gabriele Oligeri (14151426)Information and computing sciencesData management and data scienceDistributed computing and systems softwareSoftware defined radiosIQ samplesBPSKUSRP X310<p dir="ltr">The broadcast nature of wireless communications makes them vulnerable to denial-of-service attacks. Indeed, an adversary can prevent the reception of wireless messages by transmitting signals with high power over the same frequency of the considered channel. This paper presents an experimental dataset of real-world indoor communication scenarios affected by different jamming techniques. Specifically, our dataset includes data acquired from 7 different Software Defined Radios (SDRs), i.e., the USRP Ettus Research X310, operating in an office environment. Each experiment is characterized by a transmitter, a receiver, and a jammer. While the hardware of the transmitter and the receiver are kept the same for all the experiments, the hardware of the jammer is changed adopting 5 different radios of the same brand. The dataset includes different jamming behaviors, based on the type of signal injected by the jammer: no jamming (silent), tone (sinusoidal), and Gaussian noise. Moreover, besides having multiple jamming devices and modes, the dataset also includes different transmission distances and jamming powers. In each experiment, a pre-determined sequence of bits has been modulated using the BPSK scheme, transmitted wirelessly under different jamming conditions, and then stored, at the receiver, as a 2-columns matrix of I/Q samples. Researchers can use this dataset in several ways, including: (i) developing active and reactive techniques for jamming detection, (ii) jamming identification at the physical layer, and finally, (iii) developing mitigation techniques supported by real data.</p><h2>Other Information</h2><p dir="ltr">Published in: Data in Brief<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.dib.2022.108773" target="_blank">https://dx.doi.org/10.1016/j.dib.2022.108773</a></p>2023-02-01T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.dib.2022.108773https://figshare.com/articles/journal_contribution/A_Dataset_of_physical-layer_measurements_in_indoor_wireless_jamming_scenarios/24501145CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/245011452023-02-01T06:00:00Z
spellingShingle A Dataset of physical-layer measurements in indoor wireless jamming scenarios
Saeif Alhazbi (17058108)
Information and computing sciences
Data management and data science
Distributed computing and systems software
Software defined radios
IQ samples
BPSK
USRP X310
status_str publishedVersion
title A Dataset of physical-layer measurements in indoor wireless jamming scenarios
title_full A Dataset of physical-layer measurements in indoor wireless jamming scenarios
title_fullStr A Dataset of physical-layer measurements in indoor wireless jamming scenarios
title_full_unstemmed A Dataset of physical-layer measurements in indoor wireless jamming scenarios
title_short A Dataset of physical-layer measurements in indoor wireless jamming scenarios
title_sort A Dataset of physical-layer measurements in indoor wireless jamming scenarios
topic Information and computing sciences
Data management and data science
Distributed computing and systems software
Software defined radios
IQ samples
BPSK
USRP X310