Measurement of optical fiber sensors for intrusion detection and warning systems fortified with intelligent false alarm suppression

Vikram, Anand; Patel, Shobhit K.; Alsalman, Osamah

doi:10.1007/s11082-024-06797-7

Opt Quant Electron

2024

DOI: 10.1007/s11082-024-06797-7

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Measurement of optical fiber sensors for intrusion detection and warning systems fortified with intelligent false alarm suppression

Anand Vikram,

Shobhit K. Patel,

Osamah Alsalman

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2024

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Cited by 2 publications

References 58 publications

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Protecting Autonomous UAVs from GPS Spoofing and Jamming: A Comparative Analysis of Detection and Mitigation Techniques

Joeaneke,

Obioha Val,

Olaniyi

et al. 2024

SSRN Journal

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Protecting Autonomous UAVs from GPS Spoofing and Jamming: A Comparative Analysis of Detection and Mitigation Techniques

Joeaneke,

Obioha Val,

Olaniyi

et al. 2024

SSRN Journal

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Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment

Pamukti,

Afifah,

Liaw

et al. 2024

Sensors

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Distributed fiber optic sensors (DFOSs) have become increasingly popular for intrusion detection, particularly in outdoor and restricted zones. Enhancing DFOS performance through advanced signal processing and deep learning techniques is crucial. While effective, conventional neural networks often involve high complexity and significant computational demands. Additionally, the backscattering method requires the signal to travel twice the normal distance, which can be inefficient. We propose an innovative interferometric sensing approach utilizing a Mach–Zehnder interferometer (MZI) combined with a time forest neural network (TFNN) for intrusion detection based on signal patterns. This method leverages advanced sensor characterization techniques and deep learning to improve accuracy and efficiency. Compared to the conventional one-dimensional convolutional neural network (1D-CNN), our proposed approach achieves an 8.43% higher accuracy, demonstrating the significant potential for real-time signal processing applications in smart environments.

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Measurement of optical fiber sensors for intrusion detection and warning systems fortified with intelligent false alarm suppression

Cited by 2 publications

References 58 publications

Protecting Autonomous UAVs from GPS Spoofing and Jamming: A Comparative Analysis of Detection and Mitigation Techniques

Protecting Autonomous UAVs from GPS Spoofing and Jamming: A Comparative Analysis of Detection and Mitigation Techniques

Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment

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