Wireless Physical-Layer Identification Assisted 5G Network Security

作者：Jie Chang, Yihan Xiao, Zhen Zhang · 年份：2019 · DOI：10.1109/infocomwkshps47286.2019.9093751 · 被引用次数：10 · 研究领域：Wireless Signal Modulation Classification、Digital Media Forensic Detection、Machine Learning and ELM

The specific emitter identification for physical-layer identification security utilize the exclusive features of the emitter to distinguish permissible emitters for 5G network security. In this paper, we develop an emitter identification based on Contour Stella Image. This paper collects output signal of eight transmitters to validate our method. Contour Stella Image is used to convert signal into a picture and the problem of signal identification turns into picture classification. After getting the Contour Stella Image of the collected dataset. Convolutional Neural Network(CNN) is used to discriminate these picture and identify the transmitters farther. In this paper,we used Alex-Net of CNN. We also use traditional method to distinguish image. The result shows that the method of identifying individuals by transforming signals into pictures is effective.