The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Machine Learning-Based Polarization Signature Analysis for Detection and Categorization of Eavesdropping and Harmful Events
Open accessAbstract
We propose a methodology that uses polarization state changes and machine learning to detect and classify eavesdropping, harmful, and non-harmful events in the optical fiber network. Our solution achieves 92.3% accuracy over 13 experimental scenarios.
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Cites
Comparative Performance Analysis of Hamming, Hanning and Blackman Window
Podder, P., Khan, T. Z., Khan, M. H., & Rahman, M. (2014) · International Journal of Computer Applications · doi:10.5120/16891-6927 · Cited by 231
Harris, A. J., & Castle, P. (1986) · Journal of Lightwave Technology · doi:10.1109/jlt.1986.1074626 · Cited by 172
Optical fiber tapping: Methods and precautions
Zafar Iqbal, M., Fathallah, H., & Belhadj, N. (2011) · 8th International Conference on High-capacity Optical Networks and Emerging Technologies · doi:10.1109/honet.2011.6149809 · Cited by 77
Eavesdropping G.652 vs. G.657 fibres: a performance comparison
Karlsson, S., Lin, R., Wosinska, L., & Paolo Monti, A. (2022) · International Conference on Optical Network Design and Modeling (ONDM) · doi:10.23919/ondm54585.2022.9782849 · Cited by 19
Self-citationMore Than Communications: Environment Monitoring Using Existing Optical Fiber Network Infrastructure
Aono, Y., Ip, E., & Ji, P. N. (2020) · Optical Fiber Communication Conference · doi:10.1364/ofc.2020.w3g.1 · Cited by 13
Detection of abnormal activities on a SM or MM fiber
Karlsson, S., Andersson, M., Lin, R., et al. (2023) · Optical Fiber Communication Conference · doi:10.1364/ofc.2023.m3z.6 · Cited by 4
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Pellegrini, S., Minelli, L., Andrenacci, L., Rizzelli, G., Pilori, D., Bosco, G., Della Chiesa, L., Crognale, C., Piciaccia, S., & Gaudino, R. (2025) · Journal of Optical Communications and Networking · doi:10.1364/jocn.537881 · Cited by 38
Deep Learning for Detection of Harmful Events in Real-World, Noisy Optical Fiber Deployments
Sadighi, L., Karlsson, S., Natalino, C., Wosinska, L., Ruffini, M., & Furdek, M. (2025) · Journal of Lightwave Technology · doi:10.1109/jlt.2025.3557748 · Cited by 18
Self-citationSadighi, L., Karlsson, S., Wosinska, L., & Furdek, M. (2024) · 2024 24th International Conference on Transparent Optical Networks (ICTON) · doi:10.1109/icton62926.2024.10648140 · Cited by 13
Self-citationMalik, G., Dipto, I. C., Masood, M. U., Mohamed, M. C., Straullu, S., Bhyri, S. K., Galimberti, G. M., Napoli, A., Pedro, J., Wakim, W., et al. (2025) · AI · doi:10.3390/ai6070131 · Cited by 10
Metadata
- Authors
- Sadighi, L., Karlsson, S., Natalino, C., & Furdek, M.
- Affiliations
- Chalmers University of Technology (SE)
- Defence Materiel Administration (SE)
- Corresponding author
- Sadighi, Leyla
- Karlsson, Stefan
- Natalino, Carlos
- Furdek, Marija
- Venue
- Optical Fiber Communication Conference (OFC) 2024
- Publisher
- Optica Publishing Group
- Published
- 2024
- Pages
- M1H.1
- OpenAlex
- W4396892639
- Semantic Scholar
- be1eb70308c551d2559f87cdff164b446a2cc069
- Cited by
- 19
- References
- 6
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 4
- FWCI
- 14.52
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Optical Fiber Communication Conference (publishedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Funders
- VINNOVA (2020-03506)
- Vetenskapsrådet (2019-05008)
- Eurostars
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optical Network Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Fiber Optic Sensors
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- eavesdropping detection, optical fiber communication, polarization state change, event classification, physical layer security, machine learning classification
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