ProMETHEUS: A Secure Lightweight Spectrum Allocation Protocol against SSDF Attacks in Cognitive Radio IoT Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00131747" target="_blank" >RIV/00216224:14330/23:00131747 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10255742" target="_blank" >https://ieeexplore.ieee.org/document/10255742</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/LCOMM.2023.3317335" target="_blank" >10.1109/LCOMM.2023.3317335</a>
Alternative languages
Result language
angličtina
Original language name
ProMETHEUS: A Secure Lightweight Spectrum Allocation Protocol against SSDF Attacks in Cognitive Radio IoT Networks
Original language description
The reliability and accuracy of collaborative spectrum sensing in Cognitive Radio Networks (CRNs) is highly dependent on integrity of shared spectrum sensing data. This poses challenges if the protocols need to be realized on Internet of Things-based CRNs (IoT-CRNs) without additional resources. In this paper, we introduce ProMETHEUS, a secure and lightweight spectrum allocation protocol designed specifically for IoT-CRNs. ProMETHEUS utilizes a blockchain framework to ensure the integrity of shared spectrum sensing data and employs a simple pattern-based channel state prediction technique for efficient spectrum allocation. We implemented ProMETHEUS in an IoT-CRN using Raspberry Pi 3 devices connected with software-defined radios. Our evaluation demonstrates that ProMETHEUS outperforms recently proposed CRN protocols, such as ProBLeSS [1] and PROLEMus [2].
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE COMMUNICATIONS LETTERS
ISSN
1089-7798
e-ISSN
1558-2558
Volume of the periodical
27
Issue of the periodical within the volume
11
Country of publishing house
US - UNITED STATES
Number of pages
5
Pages from-to
2919-2923
UT code for WoS article
001107469600005
EID of the result in the Scopus database
2-s2.0-85177488143