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This paper develops a novel method for feature extraction of steady communication signals based on the distribution of bispectrum amplitude and phase (BAP) to solve the identification problem of the same type of emitters. First, a propagation model of communication signals is modeled by analyzing the mechanism of emitter fingerprint, and the irrelevance between bispectrum amplitude and phase is demonstrated...
This paper proposes a novel specific emitter identification (SEI) method for communication emitter individual identification based on the 3D-Hilbert energy spectrum and multi-scales segmentation (3D-HESMS). First, the time-frequency energy spectrum is derived via Hilbert-Huang Transform (HHT), which can be defined as a complicated curved surface in the three dimension space, namely the 3D-HUbert energy...
The current network anomaly traffic detection technologies usually focus on the rules matching and statistical method which are suitable for the general network environment. For the communication characteristics of the controlled network environment, this paper puts forward a network anomaly traffic detection method based on the flow template, which captures and analyses the real-time network traffic...
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