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A hybrid intelligent approach to detect Android Botnet using Smart Self-Adaptive Learning-based PSO-SVM.

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Title: A hybrid intelligent approach to detect Android Botnet using Smart Self-Adaptive Learning-based PSO-SVM.
Authors: Moodi, Mahdi1, mahdi.moodi.72@gmail.com, Ghazvini, Mahdieh1, mghazvini@uk.ac.ir, Moodi, Hossein2, hmoodi@birjandut.ac.ir
Source: Knowledge-Based Systems; Jun2021, Vol. 222, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 149967647
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=149967647
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.knosys.2021.106988
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: A hybrid intelligent approach to detect Android Botnet using Smart Self-Adaptive Learning-based PSO-SVM.
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            NameFull: Moodi, Mahdi
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            NameFull: Ghazvini, Mahdieh
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              Text: Jun2021
              Type: published
              Y: 2021
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              Value: 222
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            – TitleFull: Knowledge-Based Systems
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