Video Image Encryption Technique Using Maximum-Length Cellular Automata and Arnold’s Cat Map

Arum Sulgi Cho; Xiao Wei Li; Sung Jin Cho; Seok Tae Kim

doi:10.4028/www.scientific.net/AMM.764-765.992

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 764-765Video Image Encryption Technique Using...

Video Image Encryption Technique Using Maximum-Length Cellular Automata and Arnold’s Cat Map

Abstract:

In this paper, we propose a video image encryption approach by using maximum length cellular automata (MLCA) methods. First, the plane images of video of the encryption method are obtained by dividing frame units. Then the XOR operation and Arnold transform are applied to each of RGB plane images. Lastly, the encryption image is encrypted by the basis image of MLCA. To demonstrate the usefulness of the proposed method, we carry out preliminary experiments and present the experimental results. The experimental results show that the proposed method provides high security.

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Periodical:

Applied Mechanics and Materials (Volumes 764-765)

Pages:

992-996

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.764-765.992

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Online since:

May 2015

Authors:

Arum Sulgi Cho, Xiao Wei Li, Sung Jin Cho, Seok Tae Kim*

Keywords:

Arnold’s Cat Map, Cellular Automata, Video Image Encryption

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* - Corresponding Author

References

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