One-time pad image encryption based on physical random numbers from chaotic laser
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A one-time pad image encryption scheme based on physical random numbers from chaotic laser is proposed and explored. The experimentally generated physical random numbers serving as the encryption keys are constructed into two random sequence image matrices, which are applied to shuffle the pixel position of the original image and change its pixel value, respectively. Some tests including statistical analysis, sensitivity analysis, and key space analysis are performed to assess reliability and efficiency of the image encryption scheme. The experimental results show that the image encryption scheme has high security and good anti-attack performance.
KeywordsImage encryption Physical random number Chaotic laser One-time pad
This work is supported by the National Natural Science Foundation of China (NSFC) under Grant 61527819, by Research Project Supported by Shanxi Scholarship Council of China under Grant 2016-036 and 2017-052, and by Program for the Outstanding Innovative Teams of Higher Learning Institutions of Shanxi and Program for Sanjin Scholar.
- 4.Ghebleh, M., Kanso, A.: A novel efficient image encryption scheme based on chained skew tent maps. Neural Comput. Appl. 28, 953–967 (2017)Google Scholar
- 12.Alsafasfeh, Q.H., Arfoa, A.A.: Image encryption based on the general approach for multiple chaotic systems. J. Signal Inf. Process. 2, 238–244 (2011)Google Scholar
- 13.Younes, M.A.B., Jantan, A.: Image encryption using block-based transformation algorithm. IAENG Int. J. Comput. Sci. 35, 407–415 (2008)Google Scholar
- 19.Mitra, A., Rao, Y.V.S., Prasanna, S.R.M.: A new image encryption approach using combinational permutation techniques. World Acad. Sci. Eng. Technol. 14, 919–923 (2008)Google Scholar
- 22.Sivakumar, T., Venkatesan, R.: A new image encryption method based on Knight’s travel path and true random number. J. Inf. Sci. Eng. 32, 133–152 (2016)Google Scholar
- 23.Random number download website. http://random-number.net. Accessed 4 May 2018
- 28.Rukhin, A., Soto, J., Nechvatal, J., Smid, M., Barker, E., leigh, S., Levenson, M., Vangel, M., Banks, D., Heckert, A., Dray, J., Vo, S.: A statistical test suite for random and pseudorandom number generators for cryptographic applications. https://csrc.nist.gov/projects/random-bit-generation/documentation-and-software. Accessed 4 May 2018