Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring

Idris Zakariyya; Harsha Kalutarage; M. Omar Al-Kadri

doi:10.1016/j.cose.2023.103388

Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring

Idris Zakariyya^*
, Harsha Kalutarage
, M. Omar Al-Kadri

^*Corresponding author for this work

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

30 Citations (SciVal)

Original language	English
Article number	103388
Journal	Computers and Security
Volume	133
DOIs	https://doi.org/10.1016/j.cose.2023.103388
Publication status	Published (VoR) - Oct 2023

Funding

This work was supported by the Petroleum Technology Development Fund (PTDF), Nigeria.

Keywords

Attack detection
Cybersecurity
Deep neural networks
Federated learning
Internet of things
Resource constrained

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10.1016/j.cose.2023.103388

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@article{009de9cdf585458aa177a889677eed70,

title = "Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring",

keywords = "Attack detection, Cybersecurity, Deep neural networks, Federated learning, Internet of things, Resource constrained",

author = "Idris Zakariyya and Harsha Kalutarage and Al-Kadri, \{M. Omar\}",

note = "Funding Information: This work was supported by the Petroleum Technology Development Fund (PTDF), Nigeria. Publisher Copyright: {\textcopyright} 2023 The Author(s)",

year = "2023",

month = oct,

doi = "10.1016/j.cose.2023.103388",

language = "English",

volume = "133",

journal = "Computers and Security",

issn = "0167-4048",

publisher = "Elsevier",

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TY - JOUR

T1 - Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring

AU - Zakariyya, Idris

AU - Kalutarage, Harsha

AU - Al-Kadri, M. Omar

PY - 2023/10

Y1 - 2023/10

KW - Attack detection

KW - Cybersecurity

KW - Deep neural networks

KW - Federated learning

KW - Internet of things

KW - Resource constrained

UR - https://www.scopus.com/pages/publications/85166227649

UR - https://www.scopus.com/pages/publications/85166227649#tab=citedBy

UR - https://www.open-access.bcu.ac.uk/14824/

U2 - 10.1016/j.cose.2023.103388

DO - 10.1016/j.cose.2023.103388

M3 - Article

AN - SCOPUS:85166227649

SN - 0167-4048

VL - 133

JO - Computers and Security

JF - Computers and Security

M1 - 103388

ER -

Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring

Funding

Keywords

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