Audio scrambling technique based on cellular automata

Abstract

Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in: Abstract Scrambling is a process that has proved to be very effective in increasing the quality of data hiding, watermarking, and encryption applications. Cellular automata are used in diverse and numerous applications because of their ability to obtain complex global behavior from simple and localized rules. In this paper we apply cellular automata in the field of audio scrambling because of the potential it holds in achieving a high scrambling degree. We also analyze the effect of using different cellular automata types on audio scrambling and we test different cellular automata rules with different Lambda values. The relation between the robustness and the scrambling degree is also studied. Experimental results show that the proposed technique is robust to data loss attack and can be applied to different applications based on the scrambling degree required.

Computational Modeling of Proteins based on Cellular Automata

“…In biological modeling, the appropriate behavior is the one that represents reality. In practical applications, the best behavior is the one that achieves the goals of the application, for example, work done in [42] uses chaotic behavior in image security and chaotic elementary CAs had an equivalent effectiveness as complex game of life in a multimedia related application [43] [44]. The CA is referenced by its rule number, which can be easily computed in the case of elementary CA.…”

Blind Audio Watermarking Technique Based on Two Dimensional Cellular Automata

“…Our proposed watermarking algorithm is considered a time domain algorithm and it is related to the scrambler we introduced earlier in [5].…”

“…The watermarking scheme proposed here and the scrambling scheme proposed in [5] depends on the CA ability to generate new indices. In the scrambling case the indices are used to shuffle the host audio file and in the case of this paper the indices are used to embed the watermark.…”

Compressive Sensing Based Audio Scrambling Using Arnold Transform

“…Scrambling degree (SD) [7] is a measure which is used to indicate the performance of scrambling algorithm. It can be calculated as follows:…”

“…The lower the residual intelligibility of a scrambling method, the higher its degree of security. Scrambling degree (SD) [7] can be used to evaluate the degree of security. As SD increases, degree of security increases and residual intelligibility decreases.…”