Cited by 64Network Security and Intrusion DetectionMobile Ad Hoc NetworksSecurity in Wireless Sensor Networks

A deep learning-based intrusion detection approach for mobile Ad-hoc network

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Meddeb, Rahma, Jemili, Farah, Triki, Bayrem, Korbaa, Ouajdi·2023·Soft Computing

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Crossref · 10.1007/s00500-023-08324-4

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Authors
Meddeb, R., Jemili, F., Triki, B., & Korbaa, O.
Affiliations
Institut Supérieur d'Informatique et des Technologies de Communication de Hammam Sousse (TN)
Corresponding author
Jemili, Farah
Venue
Soft Computing
Published
2023-05-21
Volume
27
Issue
14
Pages
9425-9439
ISSN
  • 1432-7643 (ISSN-L)
  • 1433-7479
OpenAlex
W4377194846
Cited by
63
References
44
Citations by year
2026: 13 · 2025: 15 · 2024: 25 · 2023: 10
FWCI
7.01
Type
journal article
Language
en
Open access
Locations
  • Soft Computing (publishedVersion)
  • Research Square (acceptedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Ad Hoc Networks
  • Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
Keywords
intrusion detection, mobile ad hoc networks, stacked autoencoder, denial-of-service attacks, routing attacks, network security, feature extraction, deep neural network classifier, correlation reduction

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