Abstract
In digital image encryption (DIE) procedure centered on bit-planes and an improved arrangement map is offered by this paper. By the enhanced logistic map, a chaotic series is produced primarily and in the original image the pixels are scrambled. Further into a high and undersized 4-bit matrix, the scrambled image is divided correspondingly. To produce a chaotic series that is extremely connected with the image as the fundamental, the undersized 4-bit matrix is presented addicted to an enhanced logistic category and for location scrambling plus the XOR arrangement of the extreme 4-bit matrix and the basic is used. Lastly, to acquire the cipher text image, two fold matrices are joined into image matrix which is of 8-bit. One-time pad characteristic is the implication of this procedure. In the terminologies of the histogram, to evaluate the safekeeping of image encryption, plaintext sensitivity, data entropy, and pixel relationship index, MATLAB simulation investigates are added. Validating that the procedure compromises upright encryption, Investigational outcomes display that the number of pixel changes ratio (NPCR) is superior to Ninety percentages then the data entropy of the cipher text image extents 7.99.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Post, A., Koncan, D., Kendall, M., Cournoyer, J., Clark, J.M., Kosziwka, G., Chen, W., de Grau, S., Hoshizaki, T.B.: Analysis of speed accuracy using video analysis software. Sport Eng. (2018)
Wang, S., Gu, K., Ma, S., Lin, W., Liu, X., Gao, W.: Guided image contrast enhancement based on retrieved images in cloud. IEEE Trans. Multimedia 18(2), 219–232 (2015)
Liu, W., Sun, K., Zhu, C.: A fast image encryption algorithm based on chaotic map. Opt. Lasers Eng. 84, 26–36 (2016)
Wang, Y., Liu, Z., Ma, J., He, H.: A pseudorandom number generator based on piecewise logistic map. Nonlinear Dyn. 83(4), 2373–2391 (2016)
Xu, L., Li, Z., Li, J., Hua, W.: A novel bit-level image encryption algorithm based on chaotic maps. Opt. Lasers Eng. 78, 17–25 (2016)
Hsieh, S.-E., Hsieh, C.-C.: A 0.44 fJ/conversion-step 11 b 600 KS/s SAR ADC with semi-resting DAC. In: 2016 IEEE Symposium on VLSI Circuits (VLSI Circuits), Honolulu, HI, USA (2016)
Ramesh, G.P., Rajan, A.: SRAM based random number generator for non-repeating pattern generation. In: Applied Mechanics and Materials, vol. 573, pp. 181–186. Trans Tech Publications (2014)
Ramesh, G.P., Malini, M., Professor, P.G.: An efficacious method of cup to disc ratio calculation for glaucoma diagnosis using super pixel. Int. J. Comput. Sci. Eng. Commun. 2(3) (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Jabirulah, M., Srinivas, A., Kavitha, P. (2020). A Digital Image Encryption Algorithm Based on Bit-Planes and an Improved Logistic Map. In: Balas, V., Kumar, R., Srivastava, R. (eds) Recent Trends and Advances in Artificial Intelligence and Internet of Things. Intelligent Systems Reference Library, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-030-32644-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-32644-9_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32643-2
Online ISBN: 978-3-030-32644-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)