Towards a deep learning-driven intrusion detection approach for Internet of Things

https://hdl.handle.net/10536/DRO/DU:30147231
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posted on 2024-06-05, 06:49 authored by M Ge, Naeem SyedNaeem Syed, X Fu, Zubair BaigZubair Baig, Antonio Robles-Kelly

Towards a deep learning-driven intrusion detection approach for Internet of Things

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DOI - Is version of https://doi.org/10.1016/j.comnet.2020.107784

Location

Amsterdam, The Netherlands

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Journal

Computer Networks

Volume

186

Article number

ARTN 107784

Pagination

1 - 11

ISSN

1389-1286

eISSN

1872-7069

Publisher

ELSEVIER

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Keywords

Science & Technology Technology Computer Science, Hardware & Architecture Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Intrusion detection Internet of Things Deep learning ATTACK DETECTION IOT NETWORKS SECURITY PRIVACY 4606 Distributed computing and systems software

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