Security Analysis of The Speech Scrambling Method Based on Imitation of A Super-Gaussian Signal
نویسندگان
چکیده
A scheme of speech scrambling based on imitation of a super Gaussian signal has recently been proposed. This scheme gives scrambled signals with zero trace of the original content and high scrambling degree. In this paper, the scheme is used in two scenarios: scrambling with private key method (symmetric cryptography), and scrambling with one private and one public key method (a hybrid between symmetric and asymmetric cryptography). Each scenario is analyzed in terms of security to determine if an intruder can reveal the secret content. In the first scenario three kinds of attacks are taken into account: known plaintext, brute force, and known ciphertext. In the second scenario only the brute force attack is considered, because only one information type is transmitted between Alice and Bob. According to theoretical analysis and experimental tests, it has been concluded that the scheme based on imitation of a Super Gaussian signal is highly secure, and that the original content cannot be revealed by a non-authorized user.
منابع مشابه
An Unconditionally Secure Speech Scrambling Scheme Based on An Imitation Process to A Gaussian Noise Signal
In this paper we propose and validate a hypothesis that allows scrambling speech signals through an imitation process taking advantage of the Gaussian behavior of the speech signals. If a Gaussian noise signal has a similar entropy value and similar statistics of the speech signal, it is feasible that the speech signal imitates the behavior of the first one. At the output, the scrambled speech ...
متن کاملCipher text only attack on speech time scrambling systems using correction of audio spectrogram
Recently permutation multimedia ciphers were broken in a chosen-plaintext scenario. That attack models a very resourceful adversary which may not always be the case. To show insecurity of these ciphers, we present a cipher-text only attack on speech permutation ciphers. We show inherent redundancies of speech can pave the path for a successful cipher-text only attack. To that end, regularities ...
متن کاملSpeech enhancement based on hidden Markov model using sparse code shrinkage
This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation algorithm and present a Maximum a posterior (MAP) estimator based on Laplace-Gaussian (for clean speech and noise respectively) combination in the HMM ...
متن کاملSpeech Enhancement using Adaptive Data-Based Dictionary Learning
In this paper, a speech enhancement method based on sparse representation of data frames has been presented. Speech enhancement is one of the most applicable areas in different signal processing fields. The objective of a speech enhancement system is improvement of either intelligibility or quality of the speech signals. This process is carried out using the speech signal processing techniques ...
متن کاملSpeech Enhancement using Laplacian Mixture Model under Signal Presence Uncertainty
In this paper an estimator for speech enhancement based on Laplacian Mixture Model has been proposed. The proposed method, estimates the complex DFT coefficients of clean speech from noisy speech using the MMSE estimator, when the clean speech DFT coefficients are supposed mixture of Laplacians and the DFT coefficients of noise are assumed zero-mean Gaussian distribution. Furthermore, the MMS...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016