An Evaluation of AI-Based Network Intrusion Detection in Resource-Constrained Environments

John Sheppard; James McGibney; Syed Rizvi; Mark Scanlon

doi:10.1109/UEMCON59035.2023.10315971

An Evaluation of AI-Based Network Intrusion Detection in Resource-Constrained Environments

John Sheppard, James McGibney, Syed Rizvi, Mark Scanlon

Department of Computing and Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English (Ireland)
Title of host publication	14th Annual IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	0275-0282
Number of pages	8
DOIs	https://doi.org/10.1109/UEMCON59035.2023.10315971
Publication status	Published - 17 Nov 2023

Keywords

Network Intrusion Detection Systems
Resource Constrained Environments
Internet of Things
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/UEMCON59035.2023.10315971

Cite this

Sheppard, J., McGibney, J., Rizvi, S., & Scanlon, M. (2023). An Evaluation of AI-Based Network Intrusion Detection in Resource-Constrained Environments. In 14th Annual IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON) (pp. 0275-0282). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UEMCON59035.2023.10315971

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title = "An Evaluation of AI-Based Network Intrusion Detection in Resource-Constrained Environments",

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author = "John Sheppard and James McGibney and Syed Rizvi and Mark Scanlon",

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language = "English (Ireland)",

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An Evaluation of AI-Based Network Intrusion Detection in Resource-Constrained Environments. / Sheppard, John ; McGibney, James; Rizvi, Syed et al.
14th Annual IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON). Institute of Electrical and Electronics Engineers Inc., 2023. p. 0275-0282.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Scanlon, Mark

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KW - Internet of Things

KW - Artificial Intelligence

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DO - 10.1109/UEMCON59035.2023.10315971

M3 - Conference contribution

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BT - 14th Annual IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON)

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