International Journal of Modern Nonlinear Theory and Application

Volume 2, Issue 1 (March 2013)

ISSN Print: 2167-9479   ISSN Online: 2167-9487

Google-based Impact Factor: 0.27  Citations  

A Self-Adaptive Parallel Encryption Algorithm Based on Discrete 2D-Logistic Map

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DOI: 10.4236/ijmnta.2013.21A011    3,890 Downloads   7,324 Views  Citations

ABSTRACT

A self-adaptive parallel encryption algorithm based on discrete 2D-Logistic map is developed according to the position scrambling and diffusion of multi-direction in variable space of spatial chaos. The binary sequences b1b2b3···bn are obtained according to the user key, in which the binary sequence 0 and 1 denote distribution mode of processors and the number of binary sequence n denotes cycle number. Then the pseudorandom 2D matrix is generated by 2D-Logistic map, and adaptive segmentation is applied in image matrix and pseudorandom matrix according to the value and the number of binary sequence. The parallel operation is used among blocks to improve efficiency and meet real-time demand in transmission processes. However, the pixel permutation is applied in partitioned matrix through ergodic matrix generated by pseudo-random matrix-block to decrease the correlation of adjacent pixels. Then the pixel substitution is used for fully diffusing through cipher block chaining mode until n cycles. The proposed algorithm can meet the three requirements of parallel operation in image encryption and the real-time requirement in transmission processes. The security is proved by theoretical analysis and simulation results.

Share and Cite:

J. Wang and G. Jiang, "A Self-Adaptive Parallel Encryption Algorithm Based on Discrete 2D-Logistic Map," International Journal of Modern Nonlinear Theory and Application, Vol. 2 No. 1A, 2013, pp. 89-96. doi: 10.4236/ijmnta.2013.21A011.

Cited by

[1] SPRING: a novel parallel chaos-based image encryption scheme
Nonlinear Dynamics, 2018
[2] Efficient Method to Secure the Information Contents of an Image–A Parallel Approach
2018
[3] Reliable Biometric Data Encryption Using Chaotic Map
International Journal of Advanced Research in Computer and Communication Engineering, 2015

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