A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering

Safi Ullah; Jawad Jawad; Muazzam Khan; Eman Alkhammash; Myriam Hadjouni; Yazeed Yasin Ghadi; Faisal Saeed; Nikolaos Pitropakis

A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering

Safi Ullah, Jawad Jawad, Muazzam Khan, Eman Alkhammash, Myriam Hadjouni, Yazeed Yasin Ghadi, Faisal Saeed, Nikolaos Pitropakis

Research output: Contribution to journal › Article › peer-review

49 Citations (SciVal)

Original language	English
Journal	Sensors (Switzerland)
Volume	22
Issue number	10
Publication status	Published (VoR) - 10 May 2022

Keywords

convolution neural network; cybersecurity; deep learning; Internet of Things; intrusion detection

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https://www.mdpi.com/1424-8220/22/10/3607

Cite this

@article{dae2186fb7614deb86156f629615ccd8,

title = "A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering",

keywords = "convolution neural network; cybersecurity; deep learning; Internet of Things; intrusion detection",

author = "Safi Ullah and Jawad Jawad and Muazzam Khan and Eman Alkhammash and Myriam Hadjouni and Ghadi, {Yazeed Yasin} and Faisal Saeed and Nikolaos Pitropakis",

year = "2022",

month = may,

day = "10",

language = "English",

volume = "22",

journal = "Sensors (Switzerland)",

issn = "1424-8220",

publisher = "MDPI",

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TY - JOUR

T1 - A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering

AU - Ullah, Safi

AU - Jawad, Jawad

AU - Khan, Muazzam

AU - Alkhammash, Eman

AU - Hadjouni, Myriam

AU - Ghadi, Yazeed Yasin

AU - Saeed, Faisal

AU - Pitropakis, Nikolaos

PY - 2022/5/10

Y1 - 2022/5/10

KW - convolution neural network; cybersecurity; deep learning; Internet of Things; intrusion detection

M3 - Article

SN - 1424-8220

VL - 22

JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

IS - 10

ER -

A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering

Keywords

Access to Document

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Cite this