Defensive Measure of Audio Secret Communication Based on Beamforming
Article No.: 19, Pages 1 - 6
Abstract
Beamforming is a common processing tool in signal processing to produce energy focused and directional focused signals. In this paper, it used to process acoustic and ultrasonic waves to achieve directional and secure transmission of speech. Automatic speaker verification (ASV) systems are an important part of realizing human-computer interaction and the key to secure and reliable communication, which is currently facing challenges due to the birth of various acoustic stealth communication methods. We consider the risks posed by the communication method proposed in this paper to the special "group" of voice intelligent assistant devices, and propose effective defensive measures by tracing the principles and scenarios of the communication method, improving the Mel Frequency Cepstrum Coefficient (MFCC) feature extraction method by combining Hilbert-Huang Transformation (HHT) and using machine learning classification algorithms to confirm. The effectiveness of the defense method is confirmed and the improved feature extraction method improves the defense performance.
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January 2021
1142 pages
ISBN:9781450389570
DOI:10.1145/3448734
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Published: 17 May 2021
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CONF-CDS 2021
CONF-CDS 2021: The 2nd International Conference on Computing and Data Science
January 28 - 30, 2021
CA, Stanford, USA
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