View in EDS

An approach of flow compensation incentive based on Q-Learning strategy for IoT user privacy protection.

Saved in:
Bibliographic Details
Title: An approach of flow compensation incentive based on Q-Learning strategy for IoT user privacy protection.
Authors: Chen, Lu1, 183102403@stud.tjut.edu.cn, Zhang, De-gan1, Zhang, Jie2, Zhang, Ting3, Du, Jin-yu1, Fan, Hong-rui1
Source: AEU: International Journal of Electronics & Communications; May2022, Vol. 148, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 155940776
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An approach of flow compensation incentive based on Q-Learning strategy for IoT user privacy protection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Chen%2C+Lu%22">Chen, Lu</searchLink><relatesTo>1</relatesTo>, <i>183102403@stud.tjut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+De-gan%22">Zhang, De-gan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Jie%22">Zhang, Jie</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Ting%22">Zhang, Ting</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Du%2C+Jin-yu%22">Du, Jin-yu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Fan%2C+Hong-rui%22">Fan, Hong-rui</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22AEU%3A+International+Journal+of+Electronics+%26+Communications%22">AEU: International Journal of Electronics & Communications</searchLink>; May2022, Vol. 148, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=155940776
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.aeue.2022.154172
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: An approach of flow compensation incentive based on Q-Learning strategy for IoT user privacy protection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chen, Lu
      – PersonEntity:
          Name:
            NameFull: Zhang, De-gan
      – PersonEntity:
          Name:
            NameFull: Zhang, Jie
      – PersonEntity:
          Name:
            NameFull: Zhang, Ting
      – PersonEntity:
          Name:
            NameFull: Du, Jin-yu
      – PersonEntity:
          Name:
            NameFull: Fan, Hong-rui
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 14348411
          Numbering:
            – Type: volume
              Value: 148
          Titles:
            – TitleFull: AEU: International Journal of Electronics & Communications
              Type: main
ResultId 1