Encrypted speech perceptual hashing authentication algorithm based on improved 2D-Henon encryption and harmonic product spectrum

The existing speech authentication algorithms use plaintext speech for hashing structure, and save the generated hashing sequence in the cloud, which is easy to cause hashing sequence leakage. At the same time, the robustness and matching accuracy of speech signal under complex noise are low, which will cause serious deviations in authentication. In order to solve the above problems, this paper proposes an encrypted speech perceptual hashing authentication algorithm based on improved two-dimensional Henon chaotic map (2D-Henon) encryption and harmonic product spectrum (HPS). Firstly, the algorithm sets the key for the improved 2D-Henon and transforms the original speech to encrypted speech. And then, feature extraction is performed on the encrypted speech signal to obtain the HPS feature matrix, and perform mapping and dimensionality reduction on the HPS matrix. Finally, the threshold is selected for binarization, and the perceptual hashing sequence is constructed. Experimental results show that the algorithm adopts encrypted speech perceptual hashing sequence, which improves the security of hashing sequence storage. The encrypted speech signal can reduce the amplitude of signal change, which has strong discrimination and robustness, and also has better matching accuracy against complex noise.