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Research literature / Conference paper

Quantum Machine Learning versus Machine Learning for Intrusion Detection in 5G Environments

Ioannis D. Leonidas; Panagiotis Radoglou-Grammatikis; Evangelos K. Markakis; Michail-Alexandros Kourtis; Thomas Lagkas; Georgios Th. Papadopoulos; Vasileios Argyriou; Panagiotis Sarigiannidis

Published
Publisher
IEEE
Journal / collection
2026 22nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
Research area
AI & compute
Source type
Conference paper
DOI
10.1109/dcoss-iot69657.2026.00091

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Ioannis D. Leonidas; Panagiotis Radoglou-Grammatikis; Evangelos K. Markakis; Michail-Alexandros Kourtis; Thomas Lagkas; Georgios Th. Papadopoulos; Vasileios Argyriou; Panagiotis Sarigiannidis. Quantum Machine Learning versus Machine Learning for Intrusion Detection in 5G Environments. 2026 22nd International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). 2026-06. https://doi.org/10.1109/dcoss-iot69657.2026.00091

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