Open Set Intrusion Event Recognition Using Anchor Point Learning for Distributed Optical Fiber System

• Published in: IEEE transactions on instrumentation and measurement Vol. 73; pp. 1 - 13
• Main Authors: Jiao, Wenyang, Hu, Xing, Gupta, Rohit, Cheng, Jing, Jiang, Linhua, Zhang, Dawei
• Format: Journal Article
• Language: English
• Published: New York IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Classification; Convolutional neural networks; Deep learning; distributed optical fiber; Electromagnetic interference; False alarms; Identification methods; Intrusion; Machine learning; Measurement; Monitoring; open set recognition (OSR); Optical fibers; Pattern recognition; Recognition; Regularization; road safety; Security; Task analysis; Vibrations

Distributed optical fiber sensing systems are widely used in the field of security monitoring for their electromagnetic interference resistance and high sensitivity. Due to the complexity of the environment, unknown signals often arise during the monitoring process to interfere with the recognition...