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Chaotic Encryption Method of Color Image Based on Improved Convolutional Neural Network

Published: 18 August 2021 Publication History

Abstract

In order to improve the chaotic encryption ability of color images, a chaotic encryption technology of color images based on improved neural network and chaotic random nonlinear feature mapping is proposed. The multi-pass filter detector is used to collect the feature information of color images, multi-dimensional phase space hierarchical fusion and feature evolution clustering analysis are carried out on the collected color images, the deep chaotic encryption method is used to realize the arithmetic mapping coding processing of color images, the random nonlinear mapping encryption chaotic key control scheduling model of color images is constructed, and the chaotic mapping coding sequence distribution diagram of color image chaotic encryption is established by combining the segmentation prior knowledge of multi-dimensional multi-view images. The shallow feature information and deep feature information of color image are analyzed, and the improved convolutional neural network technology is used to realize information fusion of feature information of each layer, and the chaotic encryption and recognition optimization of color image is realized by using the chaotic map coding sequence distribution map fusion algorithm. Simulation results show that this method has higher accuracy and lower error rate in chaotic encryption of color images, and improves the ability of color image recognition and detection.

References

[1]
Sierociuk D, Ziubinski P. Fractional order estimation schemes for fractional and integer order systems with constant and variable fractional order colored noise [J]. Circuits, Systems, and Signal Processing. 2014, 33(12):3861-3882.
[2]
Gao S S, Hu G G, Zhong Y M. Windowing and random weighting-based adaptive unscented Kalman filter [J]. International Journal of Adaptive Control and Signal Processing, 2015, 29(2):201-223.
[3]
Wang J L, Wang J H, Zhang D X, Kalman filtering through the feedback adaption of prior error covariance[J]. Signal Processing, 2018, 152, 47-53.
[4]
CHEN X Y, PARK JU H, CAO J D, Sliding mode synchronization of multiple chaotic systems with uncertainties and disturbances [J]. Applied Mathematics and Computation,2017,308: 161-173.
[5]
SUN J W, CUI G, WANG Y, Combination complex synchronization of three chaotic complex systems[J]. Nonlinear Dynamics, 2015,79(2): 953-965.
[6]
ZHENG S. Multi-switching combination synchronization of three different chaotic systems via nonlinear control[J]. Optik,2016,127(21): 10247-10258.
[7]
SUN J W, WANG Y, WANG Y W, Finite-time synchronization between two complex-variable chaotic systems with unknown parameters via nonsingular terminal sliding mode control[J]. Nonlinear Dynamics, 2017,85(2): 1105-1117.
[8]
Yu Y, Wang Z Y, Xu D G. Speed and current sensors fault detection and isolation based on adaptive observers for induction motor drivers [J]. Journal of Power Electronics, 2014, 5(14):967-979.
[9]
Berriri H, Naouar W, Bahri I, Field programmable gate array-based fault-tolerant hysteresis current control for AC machine drives [J]. IET Electric Power Applications, 2012, 6(3):181-189.
[10]
Khil S K E, Jlassi I, Estima J O, Current sensor fault detection and isolation method for PMSM drives, using average normalised currents [J]. Electronics Letters, 2016, 52(17):1434-1436.
[11]
Chen H, Liu Z, Zhu L, Asymmetric color cryptosystem using chaotic Ushiki map and equal modulus decomposition in fractional Fourier transform domains [J]. Optics and Lasers in Engineering, 2019, 112: 7-15.
[12]
Gao Z W, Cecati C, Ding S X. A survey of fault diagnosis and fault-tolerant techniques-part I:Fault diagnosis with model-based and signal-based approaches[J]. IEEE Transactions on Industrial Electronics, 2015, 6(62):3757-3767.
[13]
Guo Chunyi,Yang Zhizhong,Ning Linru,et al.A novel coordinated control approach for commutation failure mitigation in hybrid parallel-HVDC system with MMC-HVDC and LCC-HVDC[J]. Electric Power Components and Systems,2017,45(16):1773-1782.
[14]
Z ZHANG Chaohua, LI Lianhe,YUN Guohong. Study on moving dislocations in decagonal quasicrystals[J]. Chinese Journal of Solid Mechanics, 2017,38(2): 165-169.
[15]
ZHANG Wei,WANG Zhijie. Research on Join Operation of Temporal Big Data in Distributed Environment [J]. Computer Engineering, 2019, 45(3): 20-25,31

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cover image ACM Other conferences
ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
May 2021
2053 pages
ISBN:9781450390200
DOI:10.1145/3469213
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 18 August 2021

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