@inproceedings{5612bd5e5da343a5b527f19ec9bba7a3,
title = "Normalized Intrusion Convolution Kernel for Smart Perimeter Detection Using Mach-Zehnder Interferometer Fiber Sensors",
abstract = "We present a convolutional neural network-based intrusion detection method called the normalized intrusion convolution kernel, integrated with a Mach-Zehnder Interferometer Optical Fiber sensor. By normalizing vibration signals and applying a convolutional architecture, the system achieves over 99.6\% accuracy for real-time smart perimeter intrusion classification.",
keywords = "Convolutional neural network, Distributed optical fiber sensors, Intrusion detection system, Mach-Zehnder interferometer",
author = "Pradipta, \{M. F.F.\} and B. Pamukti and S. Afifah and Liaw, \{S. K.\} and Hatta, \{A. M.\} and Yang, \{F. L.\}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Photonics Conference, IPC 2025 ; Conference date: 09-11-2025 Through 13-11-2025",
year = "2025",
doi = "10.1109/IPC65510.2025.11282215",
language = "English",
series = "2025 IEEE Photonics Conference, IPC 2025 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE Photonics Conference, IPC 2025 - Proceedings",
address = "United States",
}