Abstract
In information transmission such as speech information, higher security and confidentiality are specially required. Therefore, data encryption is a pre-requisite for a secure communication system to protect such information from unauthorized access. A new algorithm for speech encryption is introduced in this paper. It depends on the quantum chaotic map and k-means clustering, which are employed in keys generation. Also, two stages of scrambling were used: the first relied on bits using the proposed algorithm (binary representation scrambling BiRS) and the second relied on k-means using the proposed algorithm (block representation scrambling BlRS). The objective test used statistical analysis measures (signal-to-noise-ratio, segmental signal-to-noise-ratio, frequency-weighted signal-to-noise ratio, correlation coefficient, log-likelihood ratio) applied to evaluate the proposed system. Via MATLAB simulations, it is shown that the proposed technique is secure, reliable and efficient to be implemented in secure speech communication, as well as also being characterized by high clarity of the recovered speech signal.
Highlights
Speech communications are becoming increasingly common, so the need to have a high level of protection is rising dramatically [1]
We propose a new algorithm based on the chaotic algorithm for permutation (Tent Map) to scramble the values in the binary representation of the signal, and use a clustering algorithm for data mining (k-means) to scramble the blocks of the signal and generate a secondary key for the encryption
A new method of speech encryption scheme relies on a quantum chaotic map to generate a large number of total keys as the primary key, which makes the method safe from brute force attack
Summary
Speech communications are becoming increasingly common, so the need to have a high level of protection is rising dramatically [1]. Speech contains a lot of repetition compared to written text, which makes it difficult to provide security. The information transmitted in telephone networks and radio communication techniques must be confidential. The signal of speech includes bits which have negative and positive values. Speech signs can be represented in two forms: analog and digital. The digital form is represented numerically in the analog form, where the sign is composed of ones and zeros. The waveform can describe the amplitude and frequency of the signal [2]. Because the encryption methods are complex, they need to be applied on flexible platforms to meet real-time speech encryption requirements
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