Secured Speech Watermarking with DCT Compression and Chaotic Embedding Using DWT and SVD

Kumar, Kasetty Praveen; Kanhe, Aniruddha

doi:10.1007/s13369-021-06431-8

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…There are some limitations on the cryptography technique, such as the certainty of the secret information existence and the difficulties of recovering secret information when the signal processing attack or distortion, such as noise addition, compression, cropping, and re-sampling [28] [29]. The steganography technique conceals the existence of the secret information and exhibits good robustness to the signal processing distortion, therefore the secret information can be recovered with minimum error [29].…”

Section: Results a Steganographymentioning

confidence: 99%

Secure End-to-End Voice Communication: A Comprehensive Review of Steganography, Modem-Based Cryptography, and Chaotic Cryptography Techniques

Pekerti,

Sasongko,

Indrayanto

2024

IEEE Access

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Secure end-to-end voice communication is crucial, but it has several issues. Researchers in this field can benefit from a review paper with broader evaluation parameters than existing literature and from a coverage of security algorithms for voice communication. This paper provides a comprehensive overview of end-to-end secure voice communication and evaluation of various methods for securing voice transmissions over communication networks. The evaluation parameters include System Throughput Capacity, Transmission Error Rate, Recovered Speech Quality, and Security of the System. The analysis results show that Steganography category is the most popular technique in recent years and the most promising category to implement high system throughput capacity. Modem-based Cryptography category is the most promising category to implement standard security algorithms with low system throughput capacity. Meanwhile, chaotic Cryptography provide suitable cryptography for voice security. Furthermore, the results reveal gaps in proposed solutions, including the evaluation and improvement of speech quality, the need for further development of compatible method to implement standard security algorithms, and the extensive development space for Artificial Intelligent based method.

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Section: Results a Steganographymentioning

confidence: 99%

Secure End-to-End Voice Communication: A Comprehensive Review of Steganography, Modem-Based Cryptography, and Chaotic Cryptography Techniques

Pekerti,

Sasongko,

Indrayanto

2024

IEEE Access

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“…Another new publication, was proposed by Kumar, and Kanhe, where a secured speech watermarking with DCT compression and chaotic embedding using DWT and SVD, is presented 22 . Authors of this work claimed that their proposed algorithm can resist to various signal processing attacks such as noise addition, low-pass filtering, requantization, resampling, amplitude scaling, and MP3 compression.…”

Section: Related Workmentioning

confidence: 99%

COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT

Mohammed¹,

Sultan

Alheeti

et al. 2023

Baghdad Sci.J

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Healthcare professionals routinely use audio signals, generated by the human body, to help diagnose disease or assess its progression. With new technologies, it is now possible to collect human-generated sounds, such as coughing. Audio-based machine learning technologies can be adopted for automatic analysis of collected data. Valuable and rich information can be obtained from the cough signal and extracting effective characteristics from a finite duration time interval that changes as a function of time. This article presents a proposed approach to the detection and diagnosis of COVID-19 through the processing of cough collected from patients suffering from the most common symptoms of this pandemic. The proposed method is based on adopting a combination of Singular Value Decomposition (SVD), and Discrete Wavelet Transform (DWT). The combination of these two signal processing techniques is gaining lots of interest in the field of speaker and speech recognition. As a cough recognition approach, we found it well-performing, as it generates and utilizes an efficient minimum number of features. Mean and median frequencies, which are known to be the most useful features in the frequency domain, are applied to generate an effective statistical measure to compare the results. The hybrid structure of DWT and SVD, adopted in this approach adds to its efficiency, where a 200 times reduction, in terms of the number of operations, is achieved. Despite the fact that symptoms of the infected and non-infected people used in the study are having lots of similarities, diagnosis results obtained from the application of the proposed approach show high diagnosis rate, which is proved through the matching with relevant PCR tests. The proposed approach is open for more improvements with its performance further assured by enlarging the dataset, while including healthy people.

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“…In this algorithm, watermarks are generated by compressed data of GBT (Graph Based Transform), and then the watermarks are embedded into the coefficients of LSFs (Line Spectral Frequencies) via the combination of LP (Linear Prediction) and DM-QIM (Dither Modulation-Quantization Index Modulation). A secured watermarking algorithm based on chaotic is introduced in [18]. e embedding information is the compressed data of DCT of the secret audio, and then the information is embedded into random sequences of matrixes of singular value via the combination of DWT and SVD (Singular Value Decomposition).…”

Section: Introductionmentioning

confidence: 99%

GRACED: A Novel Fragile Watermarking for Speech Based on Endpoint Detection

Zhou

Song

Qian

et al. 2022

Security and Communication Networks

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Content authentication and tampering detection of multimedia is a vital application by using digital watermarking. In this paper, we propose a novel fraGile wateRmArking of speeCh based on Endpoint Detection (namely GRACED) to verify the integrity of speech. Firstly, speech signal is framed word by word and each speech frame includes one intact nonsilence word. Subsequently, feature fusion is adopted to generate the fragile watermark which will be embedded into the coefficients of hybrid domain of discrete wavelet transform (DWT) and singular value decomposition (SVD). Finally, the tampering detection is accomplished without using any synchronous code to detect kinds of attacks. Several experiments are executed in order to quantify the performance of the proposed method. Experimental evaluation and comparisons with other schemes demonstrate that the signal-to-noise ratio of the proposed method is high with a favorable imperceptibility. Additionally, the tampering localization of various malicious attacks can be achieved without using synchronous code and the proposed scheme even can determine the attack types.

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Secured Speech Watermarking with DCT Compression and Chaotic Embedding Using DWT and SVD

Cited by 7 publications

References 25 publications

Secure End-to-End Voice Communication: A Comprehensive Review of Steganography, Modem-Based Cryptography, and Chaotic Cryptography Techniques

Secure End-to-End Voice Communication: A Comprehensive Review of Steganography, Modem-Based Cryptography, and Chaotic Cryptography Techniques

COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT

GRACED: A Novel Fragile Watermarking for Speech Based on Endpoint Detection

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