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Open Access

Peer-reviewed

Research Article

Advancements in intrusion detection: A lightweight hybrid RNN-RF model

Nasrullah Khan,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Writing – original draft

Affiliation Department of Computer Science Brains Institute, Peshawar, Pakistan
⨯
Muhammad Ismail Mohmand,

Roles Formal analysis, Project administration, Writing – review & editing

Affiliation Department of Computer Science Brains Institute, Peshawar, Pakistan
⨯
Sadaqat ur Rehman ,

Roles Conceptualization, Funding acquisition, Methodology, Project administration, Software, Supervision, Writing – review & editing

* E-mail: s.rehman15@salford.ac.uk

Affiliation School of Sciences, Engineering and Environment, University of Salford, Salford, United Kingdom

https://orcid.org/0000-0001-7823-3814

⨯
Zia Ullah,

Roles Formal analysis, Validation, Writing – review & editing

Affiliation Department of Computer Science Brains Institute, Peshawar, Pakistan
⨯
Zahid Khan,

Roles Data curation, Investigation, Writing – review & editing

Affiliation Robotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh, Saudi Arabia
⨯
Wadii Boulila

Roles Formal analysis, Project administration, Writing – review & editing

Affiliations Robotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh, Saudi Arabia, RIADI Laboratory, National School of Computer Sciences, University of Manouba, Manouba, Tunisia
⨯

Advancements in intrusion detection: A lightweight hybrid RNN-RF model

Nasrullah Khan,
Muhammad Ismail Mohmand,
Sadaqat ur Rehman,
Zia Ullah,
Zahid Khan,
Wadii Boulila

x

Published: June 21, 2024
https://doi.org/10.1371/journal.pone.0299666

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