Enhancing fiber security using a simple state of polarization analyzer and machine learning

Anomaly detection: A survey

Chandola, V., Banerjee, A., & Kumar, V. (2009) · ACM Computing Surveys · doi:10.1145/1541880.1541882 · Cited by 11,687 · see citing works

Normalization: A Preprocessing Stage

Patro, S. G. K., & Sahu, K. K. (2015) · IARJSET · doi:10.17148/iarjset.2015.2305 · Cited by 1,594 · see citing works

Untitled work

(2015) · Cited by 1,279 · see citing works

Deep Learning for Anomaly Detection: A Survey

Chalapathy, R., & Chawla, S. (2019) · arXiv · doi:10.48550/arxiv.1901.03407 · Cited by 1,240 · see citing works

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

Erfani, S. M., Rajasegarar, S., Karunasekera, S., & Leckie, C. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.03.028 · Cited by 1,162 · see citing works

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Zhang, C., Song, D., Chen, Y., Feng, X., Lumezanu, C., Cheng, W. D., Ni, J., Zong, B., Chen, H., & Chawla, N. V. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33011409 · Cited by 904 · see citing works

2008 Eighth IEEE International Conference on Data Mining

(2008) · doi:10.1109/icdm14818.2008 · Cited by 689 · see citing works

An Overview on Application of Machine Learning Techniques in Optical Networks

Musumeci, F., Rottondi, C., Nag, A., Irene Macaluso, B., Zibar, D., Ruffini, M., & Tornatore, M. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2880039 · Cited by 644 · see citing works

Fiber Optic Sensors: An Introduction for Engineers and Scientists

Omar, A. (2013) · Sensor Review · doi:10.1108/sr.2013.08733baa.010 · Cited by 381 · see citing works

First Field Trial of Distributed Fiber Optical Sensing and High-Speed Communication Over an Operational Telecom Network

Huang, M.-F., Ji, P. N., Wang, T., Aono, Y., Salemi, M., Chen, Y., Zhao, J., Xia, T. J., Wellbrock, G. A., Huang, Y.-K., et al. (2019) · Journal of Lightwave Technology · doi:10.1109/jlt.2019.2935422 · Cited by 213 · see citing works

Recent Advances and Tendency in Fiber Bragg Grating-Based Vibration Sensor: A Review

Li, T., Guo, J., Tan, Y., et al. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3000257 · Cited by 208 · see citing works

Credit Card Fraud Detection using Machine Learning and Data Science

Maniraj, S. P., Saini, A., Ahmed, S., & Sarkar, S. D. (2019) · International Journal of Engineering Research and · doi:10.17577/ijertv8is090031 · Cited by 173 · see citing works

Machine-learning-based anomaly detection in optical fiber monitoring

Abdelli, K., Cho, J. Y., Azendorf, F., Griesser, H., Tropschug, C., & Pachnicke, S. (2022) · Journal of Optical Communications and Networking · doi:10.1364/jocn.451289 · Cited by 149 · see citing works

Machine Learning Techniques for Optical Performance Monitoring and Modulation Format Identification: A Survey

Saif, W. S., Esmail, M. A., Ragheb, A. M., Alshawi, T. A., & Alshebeili, S. A. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3018494 · Cited by 131 · see citing works

Time series data cleaning

Zhang, A., Song, S., Wang, J., et al. (2017) · Proceedings of the VLDB Endowment · doi:10.14778/3115404.3115410 · Cited by 129 · see citing works

Anomaly Detection for Industrial Control System Based on Autoencoder Neural Network

Wang, C., Wang, B., Liu, H., & Qu, H. (2020) · Wireless Communications and Mobile Computing · doi:10.1155/2020/8897926 · Cited by 99 · see citing works

2013 IEEE International Conference on Electronics, Computing and Communication Technologies

(2013) · doi:10.1109/conecct30141.2013 · Cited by 94 · see citing works

Polarization of Light with Applications in Optical Fibers

Kumar, A. J., & Ghatak, A. K. (2011) · SPIE eBooks · doi:10.1117/3.861761 · Cited by 90 · see citing works

Distributed optical fiber pressure sensors

Schenato, L., Galtarossa, A., Pasuto, A., et al. (2020) · Optical Fiber Technology · doi:10.1016/j.yofte.2020.102239 · Cited by 81 · see citing works

Credit Card Fraud Detection using Local Outlier Factor and Isolation Forest

John, H., & Naaz, S. (2019) · International Journal of Computer Sciences and Engineering · doi:10.26438/ijcse/v7i4.10601064 · Cited by 77 · see citing works

Review on Optical Fiber Sensors Based on the Refractive Index Tunability of Ferrofluid

Zhao, Y., Liu, X., Lv, R.-Q., et al. (2016) · Journal of Lightwave Technology · doi:10.1109/jlt.2016.2573288 · Cited by 76 · see citing works

Is faster better? Quantifying the relationship between broadband speed and economic growth

Ford, G. S. (2018) · Telecommunications Policy · doi:10.1016/j.telpol.2018.05.006 · Cited by 76 · see citing works

Review of optical fiber sensors for deformation measurement

Di, H., Xin, Y., & Jian, J. (2018) · Optik · doi:10.1016/j.ijleo.2018.04.131 · Cited by 72 · see citing works

An Overview of General Performance Metrics of Binary Classifier SystemsPreprint

Raschka, S. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1410.5330 · Cited by 57 · see citing works

Recent Advances and Tendencies Regarding Fiber Optic Sensors for Deformation Measurement: A Review

Li, T., Wu, D., Khyam, M. O., et al. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3138091 · Cited by 57 · see citing works

Coiflet wavelet transform applied to inspect power system disturbance-generated signals

Huang, S.-J., & Hsieh, C.-T. (2002) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/7.993240 · Cited by 54 · see citing works

2016 IEEE International Symposium on Inertial Sensors and Systems

(2016) · doi:10.1109/iss37335.2016 · Cited by 49 · see citing works

Real-Time Monitoring of Wind-Induced Vibration of High-Voltage Transmission Tower Using an Optical Fiber Sensing System

Nan, Y.-G., Xie, W., Min, L., et al. (2019) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2019.2893034 · Cited by 46 · see citing works

8th International Conference on Information Science and Technology

(2018) · International Conference on Information Science and Technology · doi:10.1109/icist.2018.8426170 · Cited by 41 · see citing works

Experimental study of machine-learning-based detection and location of eavesdropping in end-to-end optical fiber communications

Song, H., Li, Y., Liu, M., et al. (2021) · Optical Fiber Technology · doi:10.1016/j.yofte.2021.102669 · Cited by 34 · see citing works

Measurement of slow and fast polarization transients on a fiber-optic testbed

Barcík, P., & Münster, P. (2020) · Optics Express · doi:10.1364/oe.390649 · Cited by 31 · see citing works

Polarimetric optical fiber sensors of a new generation for industrial applications

Woliński, T. R., Lesiak, P., & Domański, A. W. (2008) · Bulletin of the Polish Academy of Sciences Technical Sciences · Cited by 29 · see citing works

A Direct Detection Fiber Optic Distributed Acoustic Sensor With a Mean SNR of 7.3 dB at 102.7 km

Uyar, F., Onat, T., Unal, C., et al. (2019) · IEEE photonics journal · doi:10.1109/jphot.2019.2948211 · Cited by 28 · see citing works

Impact of high-speed broadband access on local establishment dynamics

Falk, M., & Hagsten, E. (2021) · Telecommunications Policy · doi:10.1016/j.telpol.2021.102104 · Cited by 25 · see citing works

Fiber Optic Sensors Based on the Mach–Zehnder and Michelson Interferometers

Dandridge, A. D. (2011) · doi:10.1002/9781118014103.ch10 · Cited by 22 · see citing works

Analyzing vulnerability of optical fiber network considering recoverability

Wang, K., Liu, J., Tian, L., et al. (2022) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2021.108308 · Cited by 21 · see citing works

2007 Wireless Telecommunications Symposium

(2007) · doi:10.1109/wts12265.2007 · Cited by 20 · see citing works

Dynamic Effects of Temperature on FBG Pressure Sensors Used in Combustion Engines

Rosolem, J. B., Penze, R. S., Floridia, C., et al. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3025376 · Cited by 19 · see citing works

Low-Cost Interrogation of Long-Distance and Multipoint FBG Sensor Using Incoherent-FMCW Optical Ranging System

Hanto, D., & Iiyama, K. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2959798 · Cited by 16 · see citing works

Strain Transfer Function of Distributed Optical Fiber Sensors and Back-Calculation of the Base Strain Field

Yoon, S.-Y., Yu, M., Kim, E., et al. (2021) · Sensors · doi:10.3390/s21103365 · Cited by 12 · see citing works

Balanced polarimeter: A cost-effective approach for measuring the polarization of light

Patterson, L. H. C., Kihlstrom, K. E., & Everest, M. A. (2014) · American Journal of Physics · doi:10.1119/1.4896747 · Cited by 8 · see citing works

Polarization-Interference-Based Fiber Vibration Sensor Incorporating Polarization-Diversity Loop Structure

Park, K., Kim, Y. S., Jo, S., et al. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2504492 · Cited by 7 · see citing works

Do ‘dig once’ and permitting policies improve fiber availability?

Biedny, C., Whitacre, B. E., & Gallardo, R. (2022) · Telecommunications Policy · doi:10.1016/j.telpol.2021.102294 · Cited by 5 · see citing works

Polarization Changes as Early Warning System in Optical Fiber Networks

Šlapák, M., Vojtěch, J., & Münster, P. (2019) · International Conference on Telecommunications and Signal Processing (TSP) · doi:10.1109/tsp.2019.8768862 · Cited by 4 · see citing works

FIR window method: A comparative Analysis

Journals, I., & Gopika, P. (2015) · Figshare · doi:10.6084/m9.figshare.1517678.v1 · Cited by 2 · see citing works

Resilient Anomaly Detection in Fiber-Optic Networks: A Machine Learning Framework for Multi-Threat Identification Using State-of-Polarization Monitoring

Malik, 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 · see citing works

A Design of Frequency Response Analyzer Based on LabVIEW

Jun, S. (2009) · Journal of Luoyang Institute of Science and Technology

On normalization of inconsistency indicators in pairwise comparisons

Koczkodaj, W. W., Magnot, J.-P., Mazurek, J., et al. (2017) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2017.04.005 · Cited by 41 · see citing works

Rotating-compensator/analyzer fixed-analyzer ellipsometer: Analysis and comparison to other automatic ellipsometers

Aspnes, D. E., & Hauge, P. S. (1976) · Journal of the Optical Society of America · doi:10.1364/josa.66.000949 · Cited by 41 · see citing works

Controlling Covariate Shift using Balanced Normalization of WeightsPreprint

Defazio, A., & Bottou, L. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.04549

Mass Analyzers

McMaster, M. C. (2005) · doi:10.1002/0471736589.ch8