The results on ASVspoof 2019 physical access corpus show that the proposed GFCC feature based system outperforms the challenge baselines by a large margin and ...
It is a short-term processing based feature derived using GFT after constructing the graph signal and finally applying discrete cosine transform (DCT) to the ...
With this motivation, we propose a novel feature based on GSP, namely, graph frequency cepstral coefficient (GFCC) to detect playback speech. Basic Algorithm.
A Novel Feature Based on Graph Signal Processing for Detection of Physical Access Attacks. L Xu, M Tian, X Guo, Z Shan, J Jia, Y Peng, J Yang, RK Das.
Apr 26, 2024 · In this work, we propose a new feature, the graph frequency device cepstral coefficient, derived from the graph frequency domain using a device- ...
[PDF] Distribution System Bad Data Detection Using Graph Signal ...
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In this paper, we introduce a novel graph signal processing- based approach to detect bad data in power distribution sys- tems. We propose a physics-based ...
Abstract—Monitoring the smart grid involves analyzing con- tinuous data-stream from various measurement devices deployed throughout the system, which are ...
A Novel Feature Based on Graph Signal Processing for Detection of Physical Access Attacks. Conference Paper. Jun 2022. Mianxin Tian · Xing Guo ...
Jan 15, 2023 · A false data detection method based on graph neural network is proposed in this paper, which extracts the spatial features of power grid topology information.
We derive an attack detection method that is able to detect previously undetectable FDI attacks. This method is based on concepts originating from graph signal ...