PATNAIK, Milan, K. BHARATI; and Václav MATYÁŠ. ProMETHEUS: A Secure Lightweight Spectrum Allocation Protocol against SSDF Attacks in Cognitive Radio IoT Networks. IEEE COMMUNICATIONS LETTERS. UNITED STATES: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023, vol. 27, No 11, p. 2919-2923. ISSN 1089-7798. Available from: https://dx.doi.org/10.1109/LCOMM.2023.3317335.
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Basic information
Original name ProMETHEUS: A Secure Lightweight Spectrum Allocation Protocol against SSDF Attacks in Cognitive Radio IoT Networks
Authors PATNAIK, Milan (356 India, guarantor, belonging to the institution), K. BHARATI; (356 India) and Václav MATYÁŠ (203 Czech Republic, belonging to the institution).
Edition IEEE COMMUNICATIONS LETTERS, UNITED STATES, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023, 1089-7798.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.100 in 2022
RIV identification code RIV/00216224:14330/23:00131747
Organization unit Faculty of Informatics
Doi http://dx.doi.org/10.1109/LCOMM.2023.3317335
UT WoS 001107469600005
Keywords in English Cognitive Radio Network; wireless network; lightweight; security protocol
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Václav Matyáš, M.Sc., Ph.D., učo 344. Changed: 14/3/2024 13:09.
Abstract
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].
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