An Intelligent Framework for Crowdsource-Based Spectrum Misuse Detection in Shared-Spectrum Networks.

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Bibliographic Details
Title: An Intelligent Framework for Crowdsource-Based Spectrum Misuse Detection in Shared-Spectrum Networks.
Authors: Das, Debarun1, ddas2@umassd.edu, Znati, Taieb2
Source: Network (2673-8732); Jun2026, Vol. 6 Issue 2, p19, 32p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194941939
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An Intelligent Framework for Crowdsource-Based Spectrum Misuse Detection in Shared-Spectrum Networks.
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  Data: <searchLink fieldCode="JN" term="%22Network+%282673-8732%29%22">Network (2673-8732)</searchLink>; Jun2026, Vol. 6 Issue 2, p19, 32p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194941939
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      – Type: doi
        Value: 10.3390/network6020019
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 19
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      – TitleFull: An Intelligent Framework for Crowdsource-Based Spectrum Misuse Detection in Shared-Spectrum Networks.
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            NameFull: Das, Debarun
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              Text: Jun2026
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              Y: 2026
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