Nature Inspired and Transform Based Image Encryption Techniques: A Comparative Study
Author:
Publisher
ASTES Journal
Subject
Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Link
https://www.astesj.com/publications/ASTESJ_0505132.pdf
Reference19 articles.
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2. D. Haufu, L. Xiao-lu., L. Xue, "An Improved Genetic Algorithm for Combinatorial Optimization," in Proceedings of the IEEE International Conference on Computer Science and Automation Engineering, Shanghai) 58-61, 2011. https://doi.org/10.1109/CEC.2014.6900496
3. K. Tang, "An Improved Genetic Algorithm based on A Novel Strategy for Nonlinear Programming Problems," Computers and Chemical Journal, 35(3), 615-621, 2011. https://doi.org/10.1016/j.compchemeng.2010.06.014
4. F. Ye F., Y. Haiyang, and J. Xueshou, "An Improved Constrained Optimization Genetic Algorithm," in Proceedings of IEEE International Conference on ICIS, Xiamen, China) 435-439, 2010. https://doi.org/10.1109/ICICISYS.2010.5658317
5. K. Shankar, P Eswaran, "An Efficient Image Encryption Technique Based on Optimized Key Generation in ECC Using Genetic Algorithm", Artificial Intelligence and Evolutionary Computations in Engineering Systems, , 394, 705-714. https://doi.org/10.1007/978-81-322-2656-7_64.
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