location:Home > 2020 Vol.3 Apr. No.2 > Research on improved quantum encryption algorithm of CT mechanical scanning image in multimedia network

2020 Vol.3 Apr. No.2

  • Title: Research on improved quantum encryption algorithm of CT mechanical scanning image in multimedia network
  • Name: Guoping Zhang
  • Company: College of computer,Pingdingshan University,Pingdingshan
  • Abstract:

    The images in the multimedia network always have high redundancy, large amount of data and strong correlation between pixels. The current image encryption methods do not take into account the characteristics of the images, the key can’t be reused and the algorithm require for higher hardware resources, even though the security is very low. Therefore, this paper presents an improved algorithm for image quantum encryption and analyzed the classic image encryption method. Considering the disadvantages of the classical encryption method, we improve it by the quantum encryption method. Introduced the physical basis of key generation and distribution in image quantum encryption, analyzed the single particle key distribution algorithm and the two particle entangled state key distribution algorithm. Judged whether there is an effective way of intercepting by using two key distribution algorithms, which could make the communicating parties complete key negotiation by using the unreliable channels, make sure that the key is absolutely safe, ensure the security of the image. The experimental results show that the proposed method has high encryption performance, and the security and the ability to resist differential attacks are also very high.

  • Keyword: Multimedia network; Image; Quantum cryptography; Improvement;
  • DOI: 10.12250/jpciams2020020219
  • Citation form: Guoping Zhang.Research on improved quantum encryption algorithm of CT mechanical scanning image in multimedia network[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 53-67.
Reference:

[1] Wang Peizhen, Wang Youlan, Yin Zihua etal. An image encryption algorithm based on six-state quantum key [J]. Journal of Anhui University Technology (Natural Science), 2014, 31(3):303-308.
[2] Ding Wenke, Zhang Ying, Chai Xili etal. Journal of Henan University (Natural Science)[J].2015, 45(2):223-228.
[3] Shi Chunxiao. Color image encryption algorithm based on spatiotemporal chaotic system [D]. Henan University, 2014.
[4] Xia Juan. Research on quantum state sharing and image content security technology [D]. Beijing University of Technology, 2014.
[5] Bao Long. Based on the generalized D - sequence of the wireless sensor network node encryption technology research [D]. Hunan University, 2014.
[6] Huang chan, Zheng Xiaolong. The Simulation study on image algorithm based on the reversible linear memory cellular automata integration with time delay[J]. Science Technology and Engineer, 2014, 14(3):86-92.
[7] Liu Quan, Li Peiyue,Zhang Mingchao etal. Image Encryption Algorithm Based on Chaos System having Markov Portion [J]. Journal of Electronics & Information Technology, 2014(6):1271-1277.
[8] Fang Dongxi, Zhang Jian. Image Encryption Algorithm Based on Cat Mapping and DNA Coding [J]. Computer Engineering, 2014(12):89-93.
[9] Sheng Suying, Wu Xinhua. Research of chaotic image encryption algorithm based on coupled map lattices[J]. Microelectronics and computer, 2014(1).
[10] Lin Lin. A scrambling algorithm for color image digital watermarking based on the Arnold transform and the Lorenz chaotic system [J]. Electronic Design Engineering, 2014(18):165-168.
[11] Abowd G D, Mynatt E D. Charting past, present, and future research in ubiquitous computing[J]. ACM Transactions on Computer-Human Interaction (TOCHI), 2015, 7(1):29-58.
[12] Hu Z, Yuan S, Zhou C, et al. Research Progress on Ultra-high-temperature Nb-silicide-based Alloys[J]. Hangkong Xuebao/acta Aeronautica Et Astronautica Sinica, 2014, 35(10):2756-2766.
[13] Bo P, Lei L. An improved localization algorithm based on genetic algorithm in wireless sensor networks[J]. Cognitive Neurodynamics, 2015, 9(2):249-256.
[14] Chen K, Zhou Y, Zhang Z, et al. Multilevel Image Segmentation Based on an Improved Firefly Algorithm[J]. Mathematical Problems in Engineering, 2016, 2016(285–296):1-12.
[15] Li L, Lv X, Xu W, et al. A HYBRID QUANTUM GENETIC ALGORITHM IMPROVED BY QUANTUM CHROMOSOMAL CODING AND ROTATING GATES[J]. Basic & Clinical Pharmacology & Toxicology, 2015, 117:15-15.
[16] . In QIEA. Quantum-Inspired Evolutionary Algorithm for Continuous Space Optimization Based on Multiple Chains Encoding Method of Quantum Bits[J]. Mathematical Problems in Engineering, 2014, 2014(3):166-183.
[17] He Y, Deng Y, Luo M X. The Improved Evolution Paths to Speedup Quantum Evolution[J]. International Journal of Theoretical Physics, 2016, 55(4):1977-1987.
[18] Xu S, Wang Y, Lu P. Improved imperialist competitive algorithm with mutation operator for continuous optimization problems[J]. Neural Computing & Applications, 2016, 1:1-16.
[19] Xue T, Li R, Tokgo M, et al. Trajectory planning for autonomous mobile robot using a hybrid improved QPSO algorithm[J]. Soft Computing, 2015:1-17.
[20] Nomura Y, Sakai S, Arita R. Multi-orbital cluster dynamical mean-field theory with an improved continuous-time quantum Monte Carlo algorithm[J]. Physical Review B, 2014, 89(19):4714-4717.
[21] Wei X K, Shao W, Zhang C, et al. Improved self-adaptive genetic algorithm with quantum scheme for electromagnetic optimisation[J]. Iet Microwaves Antennas & Propagation, 2014, 8(12):965-972.
[22] Hoye R L Z, Ehrler B, Böhm M L, et al. Improved Open- Circuit Voltage in ZnO–PbSe Quantum Dot Solar Cells by Understanding and Reducing Losses Arising from the ZnO Conduction Band Tail[J]. Advanced Energy Materials, 2014, 4(8):105-110.
[23] Chen D, Chen J, Jiang H, et al. An improved PSO algorithm based on particle exploration for function optimization and the modeling of chaotic systems[J]. Soft Computing, 2015, 19(11):3071-3081.
[24] . In QIEA. Quantum-Inspired Evolutionary Algorithm for Continuous Space Optimization Based on Multiple Chains Encoding Method of Quantum Bits[J]. Mathematical Problems in Engineering, 2014, 2014(3):166-183.
[25] Heng L U, Liu C, Nai-Wen L I, et al. Segmentation of High Spatial Resolution Remote Sensing Images of Mountainous Areas Based on the Improved Mean Shift Algorithm[J]. Journal of Mountain Science, 2015, 12(3):671-681.
[26] Sundani D, Mutiara A B, Juarna A, et al. Edge detection algorithm for color image based on quantum superposition principle[J]. Social Work, 2015, 38(1):107-112.

Tsuruta Institute of Medical Information Technology
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