View in EDS PDF Full Text

Hybrid Autoencoder and Isolation Forest for IoT Anomaly Detection with a Novel Model.

Saved in:
Bibliographic Details
Title: Hybrid Autoencoder and Isolation Forest for IoT Anomaly Detection with a Novel Model.
Authors: Bachar, Mohamed1, mohamed.bachar3-etu@etu.univh2c.ma, Khiat, Azeddine1, azeddine.khiat@gmail.com, El Guemmat, Kamal1, k.elguemmat@gmail.com
Source: Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p31123-31129, 7p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192212555
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Hybrid Autoencoder and Isolation Forest for IoT Anomaly Detection with a Novel Model.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Bachar%2C+Mohamed%22">Bachar, Mohamed</searchLink><relatesTo>1</relatesTo>, <i>mohamed.bachar3-etu@etu.univh2c.ma</i><br /><searchLink fieldCode="AU" term="%22Khiat%2C+Azeddine%22">Khiat, Azeddine</searchLink><relatesTo>1</relatesTo>, <i>azeddine.khiat@gmail.com</i><br /><searchLink fieldCode="AU" term="%22El+Guemmat%2C+Kamal%22">El Guemmat, Kamal</searchLink><relatesTo>1</relatesTo>, <i>k.elguemmat@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Feb2026, Vol. 16 Issue 1, p31123-31129, 7p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192212555
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.48084/etasr.15288
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 31123
    Titles:
      – TitleFull: Hybrid Autoencoder and Isolation Forest for IoT Anomaly Detection with a Novel Model.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bachar, Mohamed
      – PersonEntity:
          Name:
            NameFull: Khiat, Azeddine
      – PersonEntity:
          Name:
            NameFull: El Guemmat, Kamal
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 22414487
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Engineering, Technology & Applied Science Research
              Type: main
ResultId 1