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A Hybrid Wasserstein GAN and Autoencoder Model for Robust Intrusion Detection in IoT

Mohammed S.Alshehri Oumaima Saidani Wajdan Al Malwi Fatima Asiri Shahid Latif Aizaz Ahmad Khattak Jawad Ahmad

Computer Modeling in Engineering & Sciences2025，Vol.143Issue(6)：P.3899-3920,22.
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Computer Modeling in Engineering & Sciences2025，Vol.143Issue(6)：P.3899-3920,22.DOI:10.32604/cmes.2025.064874

A Hybrid Wasserstein GAN and Autoencoder Model for Robust Intrusion Detection in IoT

Mohammed S.Alshehri 1Oumaima Saidani 2Wajdan Al Malwi 3Fatima Asiri 3Shahid Latif 4Aizaz Ahmad Khattak 5Jawad Ahmad6

作者信息

  • 1. Department of Computer Science,College of Computer Science and Information Systems,Najran University,Najran,61441,Saudi Arabia
  • 2. Department of Information Systems,College of Computer and Information Sciences,Princess Nourah bint Abdulrahman University,P.O.Box 84428,Riyadh,11671,Saudi Arabia
  • 3. Department of Informatics and Computer Systems,College of Computer Science,King Khalid University,Abha,62521,Saudi Arabia
  • 4. School of Computing and Creative Technologies,University of the West of England,Bristol,BS161QY,UK
  • 5. School of Computing,Engineering&The Built Environment,Edinburgh Napier University,10 Colinton Road,Edinburgh,EH105DT,UK
  • 6. Cybersecurity Center,Prince Mohammad Bin Fahd University,Al Khobar,31952,Saudi Arabia
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摘要

关键词

Autoencoder/cybersecurity/generative adversarial network/Internet of Things/intrusion detection system

分类

信息技术与安全科学

引用本文复制引用

Mohammed S.Alshehri,Oumaima Saidani,Wajdan Al Malwi,Fatima Asiri,Shahid Latif,Aizaz Ahmad Khattak,Jawad Ahmad..A Hybrid Wasserstein GAN and Autoencoder Model for Robust Intrusion Detection in IoT[J].Computer Modeling in Engineering & Sciences,2025,143(6):P.3899-3920,22.

基金项目

the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Group Project under grant number(RGP.2/245/46) （RGP.2/245/46）

funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R760) （PNURSP2025R760）

Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.The research team thanks the Deanship of Graduate Studies and Scientific Research at Najran University for supporting the research project through the Nama’a program,with the project code NU/GP/SERC/13/352-1。 （）

Computer Modeling in Engineering & Sciences

1526-1492

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