ENCRYPTION OF IMAGES ON THE BASIS OF CHAOTIC MAPPING AND PARALLEL COMPUTING
Abstract
The chaos-based image encryption algorithm using parallel computing is described. To reduce the amount of encrypted data the wavelet-based compression is used. Some of the wavelet coefficients are encrypted with the use of confusion-diffusion scheme and the qualifying coefficients are encrypted by the algorithm based on reversible cellular automations. Resistance of this algorithm to statistical and differential cryptanalysis was evaluated. The SP 800-22 statistical tests were performed. These tests demonstrated that the binary sequence generated by the algorithm is close to the random one. The algorithm testing was performed. The algorithm productivity was estimated. The encryption rate for the test image in the case of lossless compression was 8 Mbit/s.
About the Authors
A. V. Sidorenko
Belarusian State University
Belarus
Belarus
M. S. Shishko
Belarusian State University
Belarus
Belarus
References
1. Сидоренко, А.В. Шифрование данных с использованием хаотической динамики в сенсорной сети / А.В. Сидоренко, К. С. Мулярчик // Доклады БГУИР. – 2015. – № 6(92). – С. 41–47.
2. Wong, K.-W. A Fast Image Encryption Scheme based on Chaotic Standard Map / K.-W. Wong, S. K. Bernie, W.-S. Law // Physics Letters A. – 2008. – Vol. 372. – P. 2645–2652.
3. Chen, G. A symmetric image encryption scheme based on 3D chaotic cat maps / G. Chen, Y. Mao, Ch.K. Chui // Chaos, Solitons and Fractals. – 2004. – Vol. 21. – P. 749–761.
4. Khan, M. A Literature Review on Image Encryption Techniques / M. Khan, T. Shah // 3D Res. – 2014. – Vol. 5, iss. 4.
5. Wong, K.-W. Image encryption using chaotic maps / K.-W. Wong // Intel. Computing Based on Chaos. – 2009. – Vol. 184. – P. 333–354.
6. Новицкий, В.В. Сжатие полутоновых изображений на основе кластеризации и прогрессивного вложенного кодирования вейвлет-коэффициентов / В.В. Новицкий, В.Ю. Цветков // Телекоммуникации: сети и технологии, алгебраическое кодирование и безопасность данных : материалы Междунар. науч.-техн. семинара, Минск, апрель–декабрь 2015 г. – Минск : БГУИР, 2015. – С. 45–51.
7. Faraoun, K.M. A parallel block-based encryption schema for digital images using reversible cellular automata / K.M. Faraoun // Engineering Science and Technology. – 2014. – Vol. 17. – P. 85–94.
8. Wu, Y. NPCR and UACI randomness tests for image encryption / Y. Wu, J.P. Noonan, S. Agaian // Multidisciplinary journals in science and technology. Journal of selected areas in telecommunications (JSAT). – 2011. – Apr. ed. – P. 31–38.
9. A statistical test suite for random and pseudorandom number generators for cryptographic applications / A. Rukhin [et al.]. – Special Publication 800-22. Revision 1a. – Gaithersburg : National institute of standards and technology, 2010. – 131 р.
Review
For citations:
Sidorenko A.V., Shishko M.S. ENCRYPTION OF IMAGES ON THE BASIS OF CHAOTIC MAPPING AND PARALLEL COMPUTING. Informatics. 2017;(4(56)):78-88. (In Russ.)
Views: 815
Email this article 