SYN-GAN: A robust intrusion detection system using GAN-based synthetic data for IoT security

https://hdl.handle.net/10779/DRO/DU:28058246

journal contribution

posted on 2025-01-02, 23:34 authored by Saifur RahmanSaifur Rahman, Shantanu PalShantanu Pal, S Mittal, T Chawla, Chandan KarmakarChandan Karmakar

SYN-GAN: A robust intrusion detection system using GAN-based synthetic data for IoT security

History

Related Materials

1.
DOI - Is version of https://doi.org/10.1016/j.iot.2024.101212

Location

Berlin, Germany

Open access

Yes

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Journal

Internet of Things

Volume

26

Article number

101212

Pagination

1-13

ISSN

2199-1073

eISSN

2199-1081

Publisher

Springer Nature

Publication URL

http://dx.doi.org/10.1016/j.iot.2024.101212

Usage metrics

Categories

Keywords

Uncategorised value

Licence

Exports