Data Structures and Algorithms

   

A Secure Technique for Data Compression and Supercompression using Frequency Dependent Chaos

Authors: Sai Venkatesh Balasubramanian

A Chaos based compression technique offering high capacity and high security simultaneously is designed and implemented. A chaotic image, obtained by reshaping the signal representing a frequency dependant driven chaotic system is used as the data carrier in which data from the file to be compressed is embedded. Implementation of the algorithm is carried out in MATLAB and Python platforms for various filetypes such as txt, png, pdf, mp3, 3gp and rar formats. A comparative performance analysis reveals a high fidelity with a mean square errors of less than 0.0009 percent as well as a relatively high compression ratio value of 5-6. A very high level of security leading to up to 60 percent of mean square error values even for 1 percent misalignment in the decryption process is observed. The execution times for the implementations are obtained reasonably at around 5 seconds. A new compression technique, termed ‘supercompression’ consisting of repeated application of the compression technique is proposed. A proof-of-concept implementation achieved extremely high compression ratios of around 40000. The extreme simplicity of implementation coupled with the twin advantages of high compression ratios and high security forms the highlight of the present work.

Comments: 15 Pages.

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Submission history

[v1] 2015-10-27 09:23:57

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